3+ years of experience in data engineering, preferably with real-time systems.
Proficient with Python, SQL, and distributed data systems (Kinesis, Spark, Flink, etc.).
Strong understanding of event-driven architectures, data lakes, and message serialization.
Experience with sensor data processing, telemetry ingestion, or mobility data is a plus.
Familiarity with Docker, CI/CD, Kubernetes, and cloud-native architectures.
Familiarity with building data pipelines & its workflows (eg: Airflow).
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time