Senior Data / ETL Engineer

PySpark

Kafka Streaming

Oracle ETL \& Scripting

Responsibilities

• Design and develop scalable ETL/ELT data pipelines
• Build cloud\-native data engineering solutions
• Work with Databricks, Informatica, Snowflake, AWS, and PySpark
• Optimize data processing performance and data quality
• Support real\-time streaming solutions using Kafka
• Collaborate with Data Architects, Analysts, and Business teams

Good to Have

• CI/CD \& DevOps exposure
• Data Lake/Lakehouse architecture knowledge
• Data Governance \& Data Quality experience
• AWS, Snowflake, Databricks, or Informatica certifications

Pay: ₹1,500,000\.00 \- ₹2,100,000\.00 per year

Work Location: In person