Build, automate, and manage near-real-time data ingestion pipelines for analytics.
Design and maintain cloud-native big data environments on AWS using SQL/NoSQL/NewSQL.
Lead data governance and data profiling for data quality and metadata.
Collaborate with Data Scientists, BI teams, and product managers on data models.
Develop ETL processes with Spark, Python, and SQL on AWS.
Define SLAs for data availability and automate monitoring and alerting.

🎯 Requirements

BS in CS/IT with 8+ years of relevant experience.
Proficiency in PLSQL, SQL, and Python.
AWS services: S3, Glue, Data Catalog, Redshift, Redshift Spectrum, Athena.
Relational DB experience: Postgres, Oracle, MySQL, SQL Server; performance tuning.
ETL design with Spark, Python, and SQL.
Data governance and data security best practices.

🎁 Benefits

Salary range: $140k–$165k/year; target $156,750.
Generous retirement package.
Medical, dental, and vision insurance.
Pre-tax contribution plans and ESOP.

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