We are looking for a seasoned Data Engineer with extensive experience in designing and implementing data pipelines using Medallion Architecture, Azure Databricks, and Snowflake. The ideal candidate will be responsible for building scalable ETL pipelines, optimizing data flows, and ensuring data quality for large-scale data platforms.

Key Responsibilities:

Design, develop, and optimize data pipelines following Medallion Architecture (Bronze, Silver, Gold layers).
Implement and maintain ETL pipelines using Databricks and Python (multi-threading and multi-processing).
Leverage Snowflake for data warehousing, including schema design, data loading, and performance tuning. This also includes experience with Linux, Docker, Anaconda, Pandas, PySpark, Apache Hive and Iceberg, Trino, and Prefect.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver robust data solutions.
Develop data models and manage data lakes for structured and unstructured data.
Implement data governance and security best practices.
Monitor and troubleshoot data pipelines for performance and reliability.
Stay up-to-date with industry trends and best practices in data engineering and cloud technologies.

Minimum Qualification

B.Tech/B.E. (Computer Science/IT/Electronics)
MCA
Computer diploma in development with 3+ years of experience compulsory

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