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Senior Data Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 500000 - Rs 1000000 (ie INR 5-10 LPA). Min Experience: 6 years. Location: Remote (India). JobType: full-time. We are looking for an experienced . Data Engineer.  to lead the migration of Databricks-based pipelines to . Snowflake. , ensuring scalability, performance, and efficiency in data processing. The role demands strong expertise in . PySpark/Spark, Snowflake, DBT, and Airflow. , along with exposure to . DevOps and CI/CD.  best practices. You will be responsible for re-architecting data workflows, implementing automation, and ensuring end-to-end reliability and optimization across environments.. Key Responsibilities. Lead the migration and re-engineering of Databricks pipelines into Snowflake.. Design and optimize . SQL-based transformations.  for large-scale data processing.. Implement and manage . DBT models. , macros, and version-controlled deployments.. Build and maintain . Airflow DAGs.  for efficient workflow automation and monitoring.. Develop and manage . CI/CD pipelines.  using GitHub Actions, Azure DevOps, or similar tools.. Ensure robust . data governance, RBAC, and performance tuning.  in Snowflake.. Establish . monitoring and alerting systems.  to ensure pipeline reliability and quick issue resolution.. What Makes You a Great Fit. You have . 5+ years of hands-on experience.  in data engineering and cloud-based data platforms.. You’re proficient in . PySpark/Spark. , . Snowflake. , . DBT. , and . Airflow.  with a strong command of . SQL. .. You understand the full data lifecycle — from ingestion and transformation to automation and deployment.. You’re detail-oriented and process-driven, with a focus on . scalability, efficiency, and data quality. .. You enjoy solving complex data challenges and can collaborate effectively across technical and business teams.. You bring a . DevOps mindset. , ensuring automation, version control, and reliability in every workflow.. Company Location: India.