DATA ENGINEER

We are looking for a skilled Data Engineer with strong experience in Azure, Databricks, and Snowflake. The candidate will be responsible for building and maintaining scalable data pipelines, optimizing data processing, and ensuring data quality and governance across enterprise platforms., * Design, develop, and maintain large-scale data pipelines using Azure and Databricks.

• Work with Snowflake for data warehousing and data modeling.
• Develop and optimize PySpark and Spark-based data processing solutions.
• Ensure pipeline reliability through validation, deduplication, backfills, and idempotency handling.
• Implement data governance, PII handling, data lineage, and Unity Catalog standards.
• Perform performance tuning, troubleshooting, and optimization for Spark workloads.
• Collaborate with cross-functional teams to support scalable and secure data solutions.
• Monitor and improve data quality, compliance, and operational efficiency.

• Strong experience with Azure services such as ADF and ADLS.
• Hands-on experience with Databricks, PySpark, and Spark optimization.
• Strong Snowflake experience including data modeling and warehousing.
• Excellent SQL coding and query optimization skills.
• Experience building scalable and governed enterprise data pipelines.
• Knowledge of data governance and pipeline monitoring.