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Senior Data Engineer - Raas Infotek LLC
Data Engineer
Lead end‑to‑end data pipeline design and implementation using Python, Spark, and AWS services, driving scalable analytics solutions for enterprise clients.
About the role
Key Responsibilities
- Architect, develop, and maintain large‑scale data pipelines and ETL workflows using Python, Spark, and AWS Glue.
- Design and optimize data models and schemas for data lakes and warehouses (Redshift, Snowflake).
- Collaborate with data scientists and product teams to translate business requirements into robust data solutions.
- Implement data quality, monitoring, and governance practices to ensure reliability and compliance.
- Mentor junior engineers and conduct code reviews to uphold best practices.
Requirements
- 12+ years of experience in data engineering or related field.
- Proficiency in Python, SQL, and distributed processing frameworks (Spark, Flink).
- Hands‑on experience with AWS services (S3, EMR, Glue, Redshift).
- Strong understanding of data modeling, ETL design, and data warehousing concepts.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythonsqlapache sparkaws