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Data Engineer - Raas Infotek LLC
Data Engineer
Senior Data Engineer with 12 years of experience designing and maintaining scalable data platforms, pipelines, and architectures using Python, SQL, Hadoop, Spark, and AWS. Expert in ETL/ELT, data warehousing, and cloud-based data integration.
About the role
Key Responsibilities
- Design, develop, and optimize large-scale data pipelines and ETL/ELT workflows using Python, SQL, and Spark.
- Build and maintain data warehouses on AWS (Redshift, S3, Glue) and on-premise Hadoop clusters.
- Collaborate with data analysts, data scientists, and business stakeholders to translate requirements into robust data solutions.
- Ensure data quality, consistency, and security across all data assets.
- Monitor, troubleshoot, and improve pipeline performance and reliability.
Requirements
- 12+ years of experience in data engineering and big data technologies.
- Proficiency in Python, SQL, Hadoop, Spark, and AWS services.
- Strong background in data warehousing, ETL/ELT design, and data integration.
- Excellent problem‑solving skills and ability to work cross‑functionally.
- Experience with data governance, security, and compliance best practices.