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Senior Data Engineering Professional

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Job Description

As a seasoned data engineering professional, you will be responsible for developing and maintaining complex data pipelines using Python and AWS services such as S3, Redshift, Lambda, and Glue. Your primary objective will be to ensure seamless data flow, integrity, security, and accessibility.

Key Skills and Qualifications
  • Developed and maintained large-scale data pipelines using Python and AWS services.
  • Designed and optimized ETL processes for big data sets.
  • Ensured high-quality data through rigorous testing and quality assurance measures.
  • Collaborated with cross-functional teams to meet business-critical data needs.
  • Strong background in data warehousing and modeling concepts, including familiarity with ETL tools such as Glue, Talend, and SQL.
Benefits

This role offers the opportunity to work on cutting-edge data engineering projects, collaborate with experienced professionals, and contribute to the growth of the organization. If you are passionate about data engineering and eager to take your skills to the next level, we encourage you to apply.

Other Information

As a successful candidate, you should have 5+ years of experience in data engineering with Python and AWS, strong knowledge of ETL tools and SQL, and familiarity with data warehousing and modeling concepts.