Job Role : Senior / Lead Data Engineer • Experience Level: 4 – 10 Years

- Employment Type: Full time
- Location: Hybrid / Remote / Onsite
- As a Senior Data Engineer, you will own the end-to-end data pipelines that feed our analytics and production machine learning models. You are responsible for ensuring that massive volumes of raw data arrive reliably, scale gracefully, and can be trusted across the entire enterprise. • Architect, implement, and maintain scalable batch and real-time streaming data pipelines using Apache Spark, Kafka, and Python/Scala.
- Design and manage cloud data warehouse and lakehouse architectures (Snowflake, Databricks, BigQuery).
- Enforce data governance, quality frameworks, schema evolution,



and automated unit/integration testing on data assets.
- Partner with Data Scientists and ML Engineers to supply reliable, low-latency features and ingestion workflows.
- Relevant Experience: 4–10 years of dedicated software engineering and data pipeline development experience.
- Core Technical Stack: Advanced Python and/or Scala, expert SQL, Spark (PySpark), Kafka/Kinesis, Airflow, and Snowflake/Databricks.
- Engineering Standards: Deep understanding of containerization (Docker), version control (Git), and CI/CD for data pipelines.

📌 Lead Data Engineer (Hybrid / Remote) (Bengaluru)
🏢 Recro
📍 Bengaluru