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Cloud Native Data Engineering Professional

2 weeks ago

Mumbai, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Senior Cloud Data Engineer Position

We are seeking an experienced Senior Cloud Data Engineer to join our organization. As a key member of the data engineering team, you will design and develop scalable cloud-native data solutions using cutting-edge technologies.

The ideal candidate will have 6–10 years of experience in the data engineering space, with expertise in Python, Spark, SQL, Azure (ADLS, ADF), Databricks, and ETL development.

Key Responsibilities:
  • Design and implement robust data pipelines using Azure Data Factory (ADF) and Databricks, following best practices for data quality and governance.
  • Perform ETL processes across large datasets, ensuring high data integrity and accuracy.
  • Use Python and Spark to build complex transformations and aggregations, applying data quality frameworks and adherence to governance standards.
  • Integrate data pipelines with APIs and external systems, maintaining clear metadata and documentation.
  • Monitor and troubleshoot pipelines to ensure smooth operation, collaborating with data scientists, analysts, and other engineering teams to deliver insights.

Data Quality & Catalog Focus:

  • Ensure accuracy and completeness of data through profiling and validation, working with cataloging tools to maintain clear metadata and documentation.
  • Apply data quality frameworks and adhere to governance standards, ensuring high-quality data delivery.

This is an opportunity to work on innovative projects, collaborate with talented professionals, and grow your skills in data engineering. If you are passionate about delivering high-quality data solutions, we encourage you to apply for this exciting position.