Senior Data Engineer (Hybrid: New York, NY - US)

Added
8 days ago
Type
Full time
Salary
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Related skills

redshift aws postgresql sql nosql

πŸ“‹ Description

  • Build, automate, and manage near-real-time data ingestion pipelines.
  • Build and maintain cloud-native big data environments on AWS.
  • Lead data governance and data profiling for data quality and lineage.
  • Partner with data scientists, BI developers, and PMs to design data models.
  • Design ETL processes to validate and transform data using Spark, Python, and SQL on AWS.
  • Define SLAs for data availability and automate monitoring.

🎯 Requirements

  • Bachelor's degree in CS or IT; 8+ years of relevant experience.
  • Proficient in PLSQL, SQL, and Python for ETL.
  • Experience with AWS services including S3, Glue, Data Catalog, Redshift, Redshift Spectrum, and Athena.
  • Experience with Postgres, Oracle, MySQL, and SQL Server; DB design.
  • Experience in performance tuning and optimizing database operations.
  • Familiarity with data governance frameworks and data security best practices.
  • Passion for learning new technologies and staying up to date.

🎁 Benefits

  • Compensation commensurate with experience.
  • Generous retirement package.
  • Medical, dental, and vision insurance.
  • Pre-tax plans and Employee Stock Ownership Plan ESOP.
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