- Lead the design, development, and maintenance of scalable and high-performance ETL/ELT data pipelines for batch and real-time processing.
- Serve as the technical expert for the team, making critical architectural decisions and driving the implementation of best practices in data engineering.
- Hands-on development using Python, Scala, and advanced SQL to solve complex data manipulation and transformation challenges.
- Implement and manage the LakeHouse architecture using the Medallion structure ( Bronze, Silver, Gold layers ) and ensure platform scaling capability..
- Own data ingestion practices, including Change Data Capture (CDC) mechanisms like Debezium ,OLake,? and utilizing message brokers such as Kafka and Google Pub/Sub .
- Collaborate with stakeholders to understand data requirements and translate them into effective data models ( Fact,



Dimension, Data Marts ).
- Optimize and tune data processing jobs running on Apache Spark (both batch and structured streaming) and cloud-based query engines.
- Ensure data quality, integrity, and security across all data platforms.
- Mentor junior and mid-level engineers, conduct code reviews, and foster a culture of technical excellence and continuous improvement.

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📌 Data Engineer (Bengaluru)
🏢 Lendingkart
📍 Bengaluru