[ISO] Data Engineer
Core
Design, build, and operate unified data platforms and domain pipelines to support scalable, trusted, and monetizable data products.
Role type
Senior Data Engineer (Platform & Pipelines)
Builds
Unified data platforms, batch and real-time ingestion pipelines, and data products for analytics, ML training, and API consumption.
Domain
Data Engineering / Cloud Platforms / Big Data
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, Python, Spark, cloud platforms (AWS, Azure, GCP), data quality checks, observability, SLA monitoring, master data management, metadata management, data lineage, access controls, pipeline optimization.
Preferred skills
MS in Big Data or AI, PMI ACP, PMP, SAFe, CSM certifications.
Technologies
AWS, Azure, GCP, Spark, SQL, Python.
Responsibilities
Design and implement batch and real-time ingestion pipelines; implement automated data quality checks, observability, and SLA monitoring; support master data management, metadata, lineage, and access controls; optimize datasets and pipelines for analytics, ML training, and API consumption; work with Data Scientists and ML Engineers to support feature and model needs; contribute to long-term platform roadmap and AI readiness.
Seniority
Senior, hands-on IC
