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.
- Solid 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.
📌 Senior Data Engineer Databricks (Bengaluru)
🏢 RITWIK IT SERVICES PRIVATE
📍 Bengaluru
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