Cloud Data Engineer

3 days ago

Nagpur, Maharashtra, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

As a key member of our technology team, you will play a crucial role in designing and developing complex data pipelines for migrating data from various on-premise sources to cloud platforms.

About this Role:

  • You will serve as a subject matter expert in project core technologies including Datastage, Azure Data Factory (ADF), Databricks, and PySpark.
  • Collaborate with architects and technical leads to design efficient and effective cloud migration strategies and data transformation solutions.
  • Ensure delivery of high-quality, well-documented, and maintainable code.

Key Responsibilities:

  • Development and Implementation: Design, develop, and deploy robust and scalable data pipelines for migrating data from various on-premise sources to cloud platforms.
  • Technical Expertise: Serve as a subject matter expert in the project's core technologies, including Datastage, Azure Data Factory (ADF), Databricks, and PySpark.
  • Solution Design: Collaborate with architects and technical leads to design efficient and effective cloud migration strategies and data transformation solutions.
  • Code Quality: Ensure the delivery of high-quality, well-documented, and maintainable code. Participate in code reviews and provide constructive feedback to peers.
  • Performance Optimization: Analyze and optimize the performance of data pipelines and applications to ensure efficiency and scalability.
  • Problem-Solving: Troubleshoot and resolve complex technical issues related to data migration, data quality, and system performance.
  • Collaboration: Work closely with cross-functional teams, including business analysts, data scientists, and other engineers, to understand requirements and deliver successful outcomes.
  • Mentorship: Provide guidance and technical support to junior engineers, helping them grow their skills and contribute effectively to the team.
Required Skills and Qualifications
  • Minimum of 10 years of experience in the IT industry, with a focus on data engineering and ETL development.
  • Extensive hands-on experience with Datastage for building and managing ETL jobs.
  • Proven experience in Cloud Migration projects, with a strong understanding of the challenges and best practices involved in moving data to the cloud.
  • In-depth knowledge and hands-on experience with Azure Data Factory (ADF) for building and orchestrating data workflows.
  • Strong proficiency in Databricks and its ecosystem, including notebooks, jobs, and Delta Lake.
  • Expertise in PySpark for developing data processing applications on a distributed computing framework.
  • Solid understanding of cloud platforms, preferably Microsoft Azure.
  • Experience with SQL and database concepts.
  • Excellent analytical, problem-solving, and communication skills.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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