Senior Data Engineer Databricks

Hiring: Senior Data Engineer Databricks

Experience: 12–16 Years
Location: Bengaluru
Shift: General Shift

Mandatory Skills:

• Strong expertise in Databricks and Apache Spark.
• Hands-on experience with PySpark, Python and SQL development.
• Strong experience in Kafka and real-time stream processing.
• Expertise in Snowflake and Snowflake SQL.
• Experience designing and developing large-scale batch and streaming data pipelines.
• Strong AWS cloud architecture knowledge, including IAM, security and networking.
• Experience with REST/GraphQL APIs, data ingestion and orchestration.
• Strong understanding of data warehousing, data modelling, Star/Snowflake schemas and ETL/ELT.

Role Responsibilities:

• Architect and develop scalable enterprise data platforms.
• Lead end-to-end batch and real-time data pipeline development.
• Optimize Spark, Databricks and Snowflake workloads.
• Design low-latency streaming solutions using Kafka.
• Provide technical leadership, architecture governance and mentorship.
• Build data platforms supporting AI/ML, LLM and advanced analytics use cases.

Education: B.Tech / M.Tech

Looking for senior-level Data Engineering professionals with strong hands-on Databricks, Spark, Kafka and Snowflake experience.