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About the role
10+ years experience in data engineering or backend engineering
Should have a product based company experience
2+ years in a technical leadership or team-lead role
Expert-level experience with Kafka for high-throughput streaming systems
Strong hands-on expertise with PySpark for distributed data processing
Advanced experience with AWS Glue for ETL orchestration and metadata management
Proven experience building and upgrading real-time data lakes at scale
Hands-on knowledge of data warehouses such as Redshift or Snowflake
Experience with AWS services including S3, Kinesis, Lambda, and RDS
Skills required
snowflakekafkaaws
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