
Senior Data Engineer
2 days ago
**Job Overview:**
Data engineers play a vital role in organizations by developing and maintaining complex data pipelines. They ensure the seamless flow of data from various sources to analytics platforms, supporting informed business decisions.
Data Pipeline Development: Design, build, and maintain scalable data pipelines using Python and AWS services (S3, Redshift, Lambda, Glue) to extract, transform, and load data into data warehouses.
ETL Process Optimization: Develop and optimize Extract, Transform, Load (ETL) processes for large datasets to improve data processing efficiency, accuracy, and reliability.
Data Integrity, Security, and Accessibility: Implement robust data governance policies to ensure data integrity, security, and accessibility across the organization.
Collaboration and Communication: Collaborate with cross-functional teams to understand business needs, gather requirements, and provide data solutions that meet their expectations.
The ideal candidate will have at least 5 years of experience in data engineering with Python and AWS. Strong knowledge of ETL tools (Glue, Talend, etc.) and SQL is essential. Familiarity with data warehousing and modeling concepts is also beneficial.
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