Senior Data Engineer (Databricks + Snowflake) job opportunity at Mindera.

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Date2026-04-27T08:32:25.599Z bot
Mindera Senior Data Engineer (Databricks + Snowflake)
Experience: General
Pattern: Full-time
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degreeGeneral
loacation Chennai, India
loacation Chennai....India
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Job Summary We are seeking a highly skilled Senior Data Engineer with strong expertise in Databricks, Snowflake, and modern data engineering practices. The ideal candidate should have hands-on experience in building scalable batch and streaming data pipelines, optimizing Spark jobs, and working with large-scale distributed data systems. Key Responsibilities Design, develop, and maintain scalable data pipelines (batch & streaming) Build and optimize data processing workflows using PySpark and SQL Work with Databricks for data processing, cluster management, and job orchestration Implement and manage data pipelines using Delta Lake architecture Integrate data from multiple sources including Kafka and cloud storage systems Ensure data quality, governance, and reliability across pipelines Collaborate with cross-functional teams for data platform enhancements Troubleshoot and debug Spark jobs for performance optimization Required Skills Strong experience in Databricks and Snowflake Proficiency in Python, PySpark, and SQL Experience with Apache Airflow for workflow orchestration Hands-on experience with Kafka (real-time streaming pipelines) Experience with GitHub-based CI/CD deployments Strong understanding of Spark internals, optimization techniques, and debugging Experience in Databricks cluster (DBX) management Hands-on experience with Delta Lake pipelines Knowledge of Databricks Asset Bundles (DAB) Good to Have Experience with cloud platforms (AWS / Azure / GCP) Knowledge of data lake architectures and medallion architecture Experience in handling large-scale data (TB/PB level) Soft Skills Strong communication and collaboration skills Ability to work in a fast-paced environment Problem-solving mindset Qualifications Bachelor’s degree in Computer Science, Engineering, or related field Notes Candidate should be comfortable working on both batch and streaming data pipelines Strong focus on performance tuning, scalability, and reliability is expected

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