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Lead Systems Engineer - Data Integration - Enterprise Mobility
Systems Engineer
Lead the design, development, and maintenance of enterprise‑wide data integration pipelines, leveraging Python, SQL, Spark, Kafka, and AWS to deliver reliable, scalable data flows for mobility and fleet management services.
About the role
Key Responsibilities
- Architect and implement end‑to‑end data pipelines that ingest, transform, and load data from diverse sources into data lakes and warehouses.
- Collaborate with data scientists, product managers, and operations teams to define data requirements and quality standards.
- Optimize pipeline performance using Spark, Kafka, and AWS services (Glue, S3, Redshift).
- Ensure data security, compliance, and governance across all integration workflows.
- Mentor junior engineers and conduct code reviews to maintain high coding standards.
Requirements
- 5+ years of experience in data engineering or systems integration roles.
- Proficiency in Python, SQL, and experience with Spark and Kafka.
- Hands‑on experience with AWS data services (Glue, S3, Redshift, EMR).
- Strong problem‑solving skills and ability to work in a fast‑paced, cross‑functional environment.
- Excellent communication skills and a collaborative mindset.
Skills
pythonsqlapache sparkaws