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Azure Data Engineer Course in Hyderabad

Azure Data Engineer Course in Hyderabad
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    Why enroll for DP 203: Data Engineering on Microsoft Azure in Hyderabad?

    pay scale by Edureka courseMicrosoft Azure Data Engineer Training in Hyderabad is recognized as a leader in the Gartner Magic Quadrant for Data Analytics and Business Intelligence Platforms for 12 consecutive years
    IndustriesAccording to Linkedin, Data Engineering is one of the fast growing jobs in technology with a growth rate of 40% year on year
    Average Salary growth by Edureka courseAverage salary for a Certified Data Engineer Course in Hyderabad is INR 10.5 Lakhs per year in India and in the United States, it is $114,835 per year in the United States - Indeed.com

    Azure Data Engineer Training Benefits in Hyderabad

    The world of data has evolved, and the advent of cloud technologies is providing new opportunities for businesses to explore. Azure data engineering is one of the most in-demand and rapidly expanding technologies in the marketplace right now. According to Microsoft, 95% of Fortune 500 firms use Azure cloud services, leading to an increasing demand for Microsoft-certified experts who can leverage Azure and manage massive volumes of data. The best way to secure a good job with a handsome salary in this domain is to obtain an Azure Data Engineer Certification.
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    Why DP 203: Data Engineering on Microsoft Azure from edureka in Hyderabad

    Live Interactive Learning

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Lifetime Access

    Lifetime Access

    • Course Access Never Expires
    • Free Access to Future Updates
    • Unlimited Access to Course Content
    24x7 Support

    24x7 Support

    • One-On-One Learning Assistance
    • Help Desk Support
    • Resolve Doubts in Real-time
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    Industry Recognised Certification

    • Edureka Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion

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    About your DP 203: Data Engineering on Microsoft Azure

    Azure Data Engineering Skills in Hyderabad

    • skillDesign data storage solutions
    • skillAnalyze data using SQL and Spark
    • skillDesign and implement data security
    • skillMonitor data storage and data processing
    • skillOptimize data storage and data processing
    • skillCreate and manage data pipelines

    Tools Covered in Hyderabad

    • Microsoft Azure
    • Microsoft Azure Blob Storage
    • Azure Cosmos DB
    • Azure SQL
    • Azure Synapse Analytics
    • Azure Stream Analytics
    • Azure HDInsight
    • Azure Data Factory
    • Azure data Bricks
    • SQL Server Management Studio
    • Python
    • Apache Spark

    Azure Data Engineering Certification Course Curriculum in Hyderabad

    Curriculum Designed by Experts

    AdobeIconDOWNLOAD CURRICULUM

    Introduction to Microsoft Azure and its Services

    7 Topics

    Topics:

    • Azure Subscriptions
    • Azure Resources
    • Azure Free Tier Account
    • Azure Resource Manager
    • Azure Resource Manager Template
    • Azure Storage
    • Types of Azure Storage

    skillHands-on:

    • Create a free tier Azure account
    • Create a web app service using Azure Portal
    • Create and Deploy ARM templates
    • Manage Azure Storage account
    • Manage Azure Cost and Billing

    skillSkills You will Learn:

    • Creating ARM templates
    • Accessing Azure Storage Service
    • Azure Cost and Billing Services

    Introduction To Azure Data Engineering

    14 Topics

    Topics:

    • Understand the evolving world of data
    • Data abundance
    • Understanding the Data Engineering Problem
    • Understand job responsibilities
    • Understanding Data Engineering Processing - Extract Transform and Load
    • Overview of Azure Data Engineering Services
    • Understand data storage in Azure Storage
    • Understand data storage in Azure Data Lake Storage
    • Understand Azure Cosmos DB
    • Understand Azure SQL Database
    • Understand Azure Synapse Analytics
    • Understand Azure Stream Analytics
    • Understand Azure HDInsight
    • Understand other Azure data services

    skillHands-on:

    • Navigating through Azure data engineering services

    skillSkills You will Learn:

    • Analyzing Data Engineering Process
    • Understanding Azure Services

    Storing Data in Azure

    13 Topics

    Topics:

    • How to choose an Azure Storage Service in Azure
    • Create an Azure Storage Account
    • Connect an app to Azure Storage API
    • Connect to your Azure storage account
    • Explore Azure Storage security features
    • Understand storage account keys
    • Understand shared access signatures
    • Control network access to your storage account
    • Understand Advanced Threat Protection for Azure Storage
    • Explore Azure Data Lake Storage security features
    • Introduction to Blob storage
    • What are blobs?
    • Design a storage organization strategy

    skillHands-on:

    • Add the storage client library to your app
    • Add Azure Storage configuration to your app
    • Connect your application to your Azure Storage account
    • Create Azure storage resources
    • Configure and initialize the client library
    • Get blob references
    • Blob uploads and downloads

    skillSkills You will Learn:

    • Working with Azure Storage
    • Configuring Security in Azure Storage
    • Storing blob data in Azure Storage

    Azure Data Factory - I

    15 Topics

    Topics:

    • Integrate data with Azure Data Factory or Azure Synapse Pipeline
    • Understand Azure Data Factory
    • Describe data integration patterns
    • Explain the data factory process
    • Understand Azure Data Factory components
    • Azure Data Factory security
    • Set-up Azure Data Factory
    • Create linked services
    • Create datasets
    • Create data factory activities and pipelines
    • Manage integration runtimes
    • Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
    • List the data factory ingestion methods
    • Describe data factory connectors
    • Understand data ingestion security considerations

    skillHands-on:

    • Use the data factory copy activity
    • Manage the self hosted integration runtime
    • Setup the Azure integration runtime

    skillSkills You will Learn:

    • Working with Azure Data Factory
    • Integrating Azure Data Factory
    • Azure Data Factory security
    • Implementing Data Factory connectors

    Azure Data Factory - II

    22 Topics

    Topics:

    • Explain Data Factory transformation methods
    • Describe Data Factory transformation types
    • Debug mapping data flow
    • Describe slowly changing dimensions
    • Choose between slowly changing dimension types
    • Understand data factory control flow
    • Work with data factory pipelines
    • Debug data factory pipelines
    • Add parameters to data factory components
    • Execute data factory packages
    • Describe SQL Server Integration Services
    • Understand the Azure-SIS integration runtime
    • Set-up Azure-SIS integration runtime
    • Run SSIS packages in Azure Data Factory
    • Migrate SSIS packages to Azure Data Factory
    • Configure a git repository with a development factory
    • Create and merge a feature branch
    • Deploy a release pipeline
    • Visually monitor pipeline runs
    • Integrate with Azure Monitor
    • Set up alerts
    • Rerun pipeline runs

    skillHands-on:

    • Author an Azure Data Factory mapping data flow
    • Use Data Factory wrangling data
    • Use compute transformations within Data Factory
    • Integrate SQL Server Integration Services packages within Data Factory
    • Design and implement a Type 1 slowly changing dimension with mapping data flows
    • Integrate a Notebook within Azure Synapse Pipelines

    skillSkills You will Learn:

    • Implementing Data Factory transformations
    • Implementing slowly changing dimensions
    • Working with SQL server integration
    • Configuring a git repository
    • Integrating Azure monitor and set up alerts

    Azure Synapse Analytics - I

    10 Topics

    Topics:

    • What is Azure Synapse Analytics
    • How Azure Synapse Analytics works
    • When to use Azure Synapse Analytics
    • Create Azure Synapse Analytics workspace
    • Describe Azure Synapse Analytics SQL
    • Explain Apache Spark in Azure Synapse Analytics
    • Orchestrate data integration with Azure Synapse pipelines
    • Visualize your analytics with Power BI
    • Understand hybrid transactional analytical processing with Azure Synapse Link
    • Use Azure Synapse Studio

    skillHands-on:

    • Explore Azure Synapse Analytics
    • Create pools in Azure Synapse Analytics
    • Identifying Azure Synapse pipeline components

    skillSkills You will Learn:

    • Working with Azure Synapse Analytics
    • Managing Azure Synapse Analytics workspace
    • Querying data and Visualizing analytics
    • Working with Azure Synapse pipeline components

    Azure Synapse Analytics - II

    6 Topics

    Topics:

    • Understand the Azure Synapse Analytical processes
    • Explore the Data hub
    • Explore the Develop hub
    • Explore the Integrate hub
    • Explore the Monitor hub
    • Explore the Manage hub

    skillHands-on:

    • Create a new data flow or dataset, and manage the file
    • Use the Monitor hub to view pipeline and trigger runs, view the status of the various integration runtimes

    skillSkills You will Learn:

    • Designing the new data flow or dataset
    • Working with various types of hubs

    Data Warehouses using Azure Synapse Analytics - I

    7 Topics

    Topics:

    • Describe a modern data warehouse
    • Define a modern data warehouse architecture
    • Exercise - Identify modern data warehouse architecture components
    • Design ingestion patterns for a modern data warehouse
    • Understand data storage for a modern data warehouse
    • Understand file formats and structure for a modern data warehouse
    • Prepare and transform data with Azure Synapse Analytics

    skillHands-on:

    • Serve data for analysis with Azure Synapse Analytics
    • Design a data warehouse schema
    • Create data warehouse tables
    • Load data warehouse tables
    • Query a data warehouse

    skillSkills You will Learn:

    • Designing a Modern Data Warehouse Architecture
    • Building a Data Warehouse
    • Working with different file formats
    • Preparing and transforming data

    Data Warehouses using Azure Synapse Analytics - II

    8 Topics

    Topics:

    • Understand data load design goals
    • Explain load methods into Azure Synapse Analytics
    • Manage source data files
    • Manage singleton updates
    • Set-up dedicated data load accounts
    • Implement workload management
    • Simplify ingestion with the Copy Activity
    • Understand performance issues related to tables

    skillHands-on:

    • Data Loading in Azure Synapse Analytics
    • Data Ingestion using Copy Activity
    • Implement workload management
    • Understand performance issues related to tables

    skillSkills You will Learn:

    • Loading data using Azure Synapse Analytics
    • Implementing workload management

    Optimizing Data Queries in Azure

    14 Topics

    Topics:

    • Understand table distribution design
    • Use indexes to improve query performance
    • Understand query plans
    • Create statistics to improve query performance
    • Improve query performance with materialized views
    • Use read committed snapshot for data consistency
    • How does statistics affect a query plan?
    • Describe the integration methods between SQL and spark pools in Azure Synapse Analytics
    • Understand the use-cases for SQL and spark pools integration
    • Exercise: Integrate SQL and spark pools in Azure Synapse Analytics
    • Externalize the use of spark pools within Azure Synapse Workspace
    • Transfer data outside the synapse workspace using the PySpark connector
    • Explore the development tools for Azure Synapse Analytics
    • Understand transact-SQL language capabilities for Azure Synapse Analytics

    skillHands-on:

    • Use table distribution and indexes to improve performance
    • Optimize common queries with result-set caching
    • Work with windowing functions
    • Work with approximate execution
    • Work with JSON data in SQL pools
    • Encapsulate transact-SQL logic with stored procedures
    • Authenticate in Azure Synapse Analytics
    • Transfer data between SQL and spark pool in Azure Synapse Analytics
    • Authenticate between spark and SQL pool in Azure Synapse Analytics

    skillSkills You will Learn:

    • Optimizing data queries in Azure
    • Authenticating in Azure Synapse Analytics
    • Working with SQL and Spark pool

    Managing Workloads in Azure Synapse Analytics

    12 Topics

    Topics:

    • Scale compute resources in Azure Synapse Analytics
    • Pause compute in Azure Synapse Analytics
    • Manage workloads in Azure Synapse Analytics
    • Use Azure Advisor to review recommendations
    • Use dynamic management views to identify and troubleshoot query performance
    • Understand skewed data and space usage
    • Understand network security options for Azure Synapse Analytics
    • Configure Conditional Access
    • Configure authentication
    • Manage authorization through column and row level security
    • Manage sensitive data with Dynamic Data Masking
    • Implement encryption in Azure Synapse Analytics

    skillHands-on:

    • Manage authorization through column and row level security

    skillSkills You will Learn:

    • Managing workloads in Azure Synapse Analytics
    • Authentication and authorization in Azure Synapse Analytics
    • Implementing encryption in Azure Synapse Analytics

    Deep Dive into Azure Databricks

    19 Topics

    Topics:

    • Get started with Azure Databricks
    • Identify Azure Databricks workloads
    • Understand key concepts
    • Use Apache Spark in Azure Databricks
    • Create a Spark cluster
    • Use Spark in notebooks
    • Use Spark to work with data files
    • Visualize data
    • Get Started with Delta Lake
    • Create Delta Lake tables
    • Create and query catalog tables
    • Use Delta Lake for streaming data
    • Get started with SQL Warehouses
    • Create databases and tables
    • Create queries and dashboards
    • Understand Azure Databricks notebooks and pipelines
    • Create a linked service for Azure Databricks
    • Use a Notebook activity in a pipeline
    • Use parameters in a notebook

    skillHands-on:

    • Explore Azure Databricks
    • Run an Azure Databricks Notebook with Azure Data Factory
    • Use a SQL Warehouse in Azure Databricks
    • Use Delta Lake in Azure Databricks
    • Use Spark in Azure Databricks

    skillSkills You will Learn:

    • Working with Azure Databricks
    • Running interactive and scheduled data analysis workloads

    Capstone Project

    3 Topics

    Topics:

    • In this project, you will design a secure, analytical, data ingestion, scalable, build and deploy data pipeline solution which you have learned as a part of this certification course
    • Documentation and presentation: Develop detailed documentation outlining the design and implementation of the Azure data solution, and effectively present the solution and its outcomes to business
    • Design and implement an Azure Data Solution

    Integrating Azure Data Solutions with Other Services (Self-paced)

    4 Topics

    Topics:

    • Integrating Azure Data Solutions with Azure Synapse Analytics
    • Integrating Azure Data Solutions with Power BI
    • Integrating Azure Data Solutions with Azure Logic Apps
    • Best Practices for Integrating Azure Data Solutions with Other Services

    skillHands-on:

    • Working with the Azure Data Solutions with Azure Synapse Analytics
    • Build and deploy Azure Data Solutions with Power BI

    skillSkills You will Learn:

    • Using Azure Data Solutions with Power BI
    • Designing the Azure Data Solutions
    • Best practices for integrating Azure Data Solutions

    Security and Compliance (Self-paced)

    4 Topics

    Topics:

    • Overview of Azure Security Features
    • Implementing Security for Azure Data Storage Solutions
    • Implementing Security for Azure Data Processing Solutions
    • Best Practices for Securing Data Solutions in Azure

    skillHands-on:

    • To demonstrate the practical implementation of security and compliance measures in Azure data engineering to safeguard the organization's data
    • To demonstrate the practical implementation of compliance measures in Azure data engineering to ensure adherence to regulatory requirements

    skillSkills You will Learn:

    • Securing the Azure Data Storage Solutions
    • Implementing Security for Data Processing Solutions

    Monitoring and Optimizing Data Solutions (Self-paced)

    4 Topics

    Topics:

    • Monitoring and Alerting Strategies for Azure Data Solutions
    • Optimizing Data Processing Solutions for Performance and Cost
    • Using Azure Monitor to Monitor Data Solutions
    • Best Practices for Monitoring and Optimizing Azure Data Solutions

    skillHands-on:

    • To demonstrate the practical implementation of monitoring measures in Azure data engineering solutions to ensure efficient system operation
    • Implementation of optimization measures in Azure data engineering solutions to ensure better system performance, reduce costs, and increase productivity

    skillSkills You will Learn:

    • Enhancing Data for Performance and Cost
    • Setting up the Azure Monitor

    Industrial Case Studies (Self-paced)

    3 Topics

    Topics:

    • Case Studies on Implementing Azure Data Solutions
    • Emerging Trends and Technologies in Azure Data Engineering
    • Best Practices for Keeping Up with Industry Trends in Azure Data Engineering

    skillUse Cases:

    • Case Studies on Mitsubishi Heavy Industries (MHI) Group
    • Case Studies on Bayer AG
    • Case Studies on fischer
    • Case Studies on New York City Department of Education
    • Case Studies on Amadeus

    Scenario Based Exam Dumps

    1 Topics

    Topics:

    • Scenario Based Dumps Set -1,2,3,4,5,6,7

    DP-203 Certification: Practice Exam

    2 Topics

    Topics:

    • Practise Exam Set 1,2,3
    • 3 practise exams with a minimum passing score of 700 will allow you to gauge your level of preparation

    Azure Data Engineering Interview Preparation

    1 Topics

    Topics:

    • Interview preparation material to assist you in getting ready for the upcoming interviews

    Reference Material

    2 Topics

    Topics:

    • Whitepapers
    • Reference Documents

    Bonus Content

    2 Topics

    • Additional Resources (Part 1)
    • Additional Resources (Part 2)

    Free Career Counselling

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    Azure Data Engineer Course Description in Hyderabad

    Who is an Azure data engineer?

    An Azure Data Engineer is a professional who aids organizations by Extracting, Transforming, and Loading (ETL) data from various sources, both structured and unstructured, into data warehouses.

      What background is required to enroll in the Azure Data Engineer Training in Hyderabad?

      This course requires previous knowledge of Azure fundamentals in order to prepare students for the material covered properly. As part of the training, students will receive free access to Azure Fundamentals self-paced video tutorials, which are designed to help them gain a deeper understanding of the platform. These tutorials will provide a comprehensive introduction to Azure and ensure that students are well-equipped to succeed in the course.

        Which skills are assessed in the Azure Data Engineer Certification?

        The Azure Data Engineer DP-203 certification exam evaluates your expertise in:
        • Azure Databricks
        • Azure Data Factory
        • Azure Synapse
        • Creating ETL Pipelines
        • Data Warehousing using Azure SQL
        • Azure Storage
        • Integration with PySpark, PowerBI and Delta Lakes

        Who is the ideal candidate for this Azure Data Engineer Course in Hyderabad?

        This course is suitable for those who want to become data engineers or architects.

          Azure Data Engineer Projects in Hyderabad

           certification projects

          Data-Driven Decision-Making to Optimize Online Retail Customer Experience and Increase Sales

          The retail company recognizes the importance of online sales and the customer experience in today's digital age. To stay competitive, they understand that they need to use data-d....
           certification projects

          Enhancing Data Processing and Analysis Capabilities for Advertising Analytics Company

          An advertisement analytics company is looking to improve their data processing and analysis capabilities. They receive large amounts of data on a daily basis from various sour....

           certification projects

          Developing a Real-Time Predictive Maintenance Solution for Industrial Equipment Using Machine Learning

          An AI analytics company is developing a predictive maintenance solution for industrial equipment, using machine learning to predict equipment failures and schedule maintenance....

          Azure Data Engineering Certification - DP 203 EXAM in Hyderabad

          The DP-203 Certification assesses your ability to design and implement data storage, create data processing, and ensure data security and efficiency in data storage and processing.
          Suppose you have advanced skills in blending, transforming, and managing data from various sources to create insightful and effective analytic solutions. In that case, you should take the DP 203 exam in Hyderabad. This exam is designed to test your proficiency in using various tools and techniques to perform data integration, transformation, and processing tasks effectively. It is an excellent opportunity for professionals who want to validate their expertise in azure data engineering and stand out in a competitive job market.
          The DP-203 exam is for those in Hyderabad looking to prove their skills in Azure data engineering, including storage, integration, processing, and ensuring data security and compliance.
          You have 2 hours (120 mins) to complete the DP-203 exam.
          The exam fee is โ‚น4,800, which might vary slightly based on your location in Hyderabad.
          A score of 700 out of 1000 is needed to pass the DP-203 certification exam.
          The exam is offered in multiple languages, including English, Chinese, Japanese, and several others.
          Key topics include: Designing and implementing data storage. Developing data processing. Ensuring data security, among others.
          You're allowed up to 5 attempts within 12 months in Hyderabad.
          Wait 24 hours after a failed attempt to reschedule. There's a 14-day wait for further attempts, and you may need to pay for retakes.
          Results are typically available within minutes, except for lab exams, which take longer. Scores are posted in your Learn profile within 24 hours.
          After a first failed attempt, wait 24 hours. If you fail again, there's a 14-day waiting period for up to 5 tries.
          The certification is valid for one year, with no prerequisites required.
          Renewal is free. Pass an online assessment on Microsoft Learn before your certification expires to extend it for another year.
          Microsoft awards this certificate to professionals in Hyderabad who pass the DP-203 exam and demonstrate their expertise
          To earn this certificate in Hyderabad, fully engage in the course and complete all quizzes and projects.
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          Microsoft Azure Data Engineer Course in Hyderabad FAQs

          Which companies in Hyderabad are looking for trained Azure Data Engineers?

          • IBM
          • Microsoft
          • Facebook
          • Oracle
          • Amazon

          What is a Microsoft Azure Data Engineer Certification?

          The Microsoft Azure Data Engineer Certification program in Hyderabad offers training in data exploration, analysis, and secure and compliant data processing using various tools. Participants learn to create, store, and optimize data platforms to meet business needs.

          What career paths can I explore with Data Engineering skills?

          By taking a Azure Data Engineering course in Hyderabad, you can pursue a career as a data engineer, data warehouse manager, database administrator, business intelligence analyst, or data architect.

          What is the educational requirement to become an Azure Data Engineer in Hyderabad?

          There is no strict degree requirement for Data Engineering. Many have degrees in physics, computer science, applied math, or statistics. Our Hyderabad course can kickstart your career even without these qualifications.

          How much does an Azure Data Engineer make in Hyderabad?

          In India, data engineers earn an average salary of over 830k annually. With relevant experience and certifications like Edureka's Azure Data Engineer Certification in Hyderabad, they have the potential to earn more.

          Do I need to know coding for Data Engineering?

          Although it's not a requirement, having a fundamental understanding of programming can be advantageous if you're considering a career in Data Engineering.

          Which programming language is best for Data Engineering?

          Some popular programming languages used for Data Engineering are Java, Python, R, SQL, and Scala.

          What are the admission criteria for the Azure Data Engineer course?

          There are no specific requirements for enrolling in our Azure Data Engineer training online in Hyderabad. Anyone with an interest in data engineering can join, but it is helpful to have a basic understanding of data structures, SQL, and programming languages such as Python and Java.

          What key skills are needed to be a Data Engineer?

          Data Engineers need to be proficient in several programming languages, such as Java, Python, or C++, as well as have expertise in relational databases and SQL queries, data warehousing, data modeling, data mining, and Apache Spark. Our Azure Data Engineer Certification program in Hyderabad is designed to help you develop these essential skills.

          Can a fresh graduate find jobs after completing the DP 203 Certification course?

          Fresh graduates can discover employment prospects in Data Engineering upon completion of our course in Hyderabad. However, having a strong understanding of algorithms, data structures, SQL, programming in Python and Java, cloud platforms, distributed systems, and data pipelines can increase their chances of success.

          How long will it take to become a Data Engineer?

          Attending the Azure Data Engineer Certification in Hyderabad, which may last anywhere from three to twelve months, can help you become a data engineer. The course curriculum, on the other hand, varies based on the degree or certification desired. 3-month courses can provide important Data Engineer experience and internship possibilities, leading to entry-level positions at top businesses.

          Why should I take the Microsoft Azure Data Engineer Training in Hyderabad?

          This course certifies you as a data engineering expert, offering the skills needed for success in the field and a portfolio to present during job interviews.

          What is the future of Data Engineering in Hyderabad?

          The rise of cloud-based data warehousing solutions is freeing up data engineers from database management tasks, allowing them to focus on performance-focused and specialized functions.

          Is Azure Data Engineer Course in Hyderabad worth it?

          Yes, the Azure Data Engineer certification is an excellent way to demonstrate your skills in data engineering. The Data Engineer certification will increase the number of job opportunities, boost employees' pay, and increase career prospects over the long term. 

          • Azure certificate expands job opportunities.
          • Azure data engineer certification makes you more competitive.
          • Azure Data Engineer Course provides better salaries.
          • Azure certification helps you prepare to advance in your career.

          Which certificate is best for Azure Data Engineer Course in Hyderabad?

          The following certifications are best suited for Data Engineers:

          • Google Professional Data Engineer
          • Cloudera Certified Professional (CCP) Data Engineer
          • Microsoft Certified: Azure Data Engineering Course
          • Arcitura Certified Big Data Architect
          • Amazon Web Services (AWS) Certified Data Analytics โ€“ Specialty
          • Cloudera Data Platform Generalist Certification
          • Data Science Council of America (DASCA) Associate Big Data Engineer
          • Data Science Council of America (DASCA) Senior Big Data Engineer
          • IBM Certified Solution Architect โ€“ Cloud Pak for Data v4.x
          • IBM Certified Solution Architect โ€“ Data Warehouse V1
          • SAS Certified Big Data Professional

          What is the salary of Azure data engineer in Hyderabad for 3 years experience?

          Data Engineer salary in Hyderabad / Secunderabad ranges between โ‚น 3.7 Lakhs to โ‚น 17.1 Lakhs with an average annual salary of โ‚น 10.8 Lakhs. Salary estimates are based on 5.3k latest salaries received from Data Engineers. 1 - 7 years exp.
          Be future ready, start learning
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