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Senior Data Engineer - Commeasure Solutions Pvt Ltd
Data Engineer
Senior Data Engineer responsible for architecting scalable ELT pipelines, managing end‑to‑end data workflows, and building MLOps‑ready infrastructure using Python, SQL, Airflow, and Snowflake.
About the role
Key Responsibilities
- Design, build, and evolve reliable ELT pipelines that ingest, transform, and load data from operational systems into the data warehouse at scale.
- Own the full lifecycle of data pipelines: ingestion, orchestration, testing, deployment, monitoring, and incident response.
- Develop and maintain MLOps‑ready infrastructure to support training, deployment, and monitoring of machine learning workflows.
- Collaborate with data scientists, analysts, and product teams to understand data needs and deliver high‑quality, reproducible data solutions.
- Implement best practices for data quality, lineage, and security across all data assets.
Requirements
- 5+ years of experience as a data engineer or similar role in a fast‑moving environment.
- Proficiency in Python, SQL, and modern orchestration tools such as Airflow.
- Hands‑on experience with Snowflake (or equivalent cloud data warehouse) and ELT pipeline design.
- Strong understanding of MLOps principles and experience building ML‑ready data pipelines.
- Excellent problem‑solving skills, attention to detail, and a passion for data quality and automation.
Skills
pythonsqlairflowsnowflakemlops