Chief Data Architect

21 hours ago

Tiruppur, Tamil Nadu, India beBeeCloudMigration Full time ₹ 40,00,000 - ₹ 50,00,000
Cloud Migration Engineer

We are seeking a seasoned Cloud Migration Engineer to lead large-scale cloud migration projects. The ideal candidate will have extensive experience in data engineering and ETL, with a strong background in migrating on-premise data systems to the cloud.

  • Main Responsibilities:
    • Design and develop robust and scalable data pipelines for migrating data from various on-premise sources to cloud platforms.
    • 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 high-quality, well-documented, and maintainable code through participation in code reviews and providing constructive feedback to peers.
    • Analyze and optimize the performance of data pipelines and applications to ensure efficiency and scalability.
    • Troubleshoot and resolve complex technical issues related to data migration, data quality, and system performance.
  • Key Qualifications:
    • Minimum 10 years of experience in the IT industry, focusing 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.

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