Senior Data Engineer

Overview

Senior Data Engineer role focused on designing and building production-ready data infrastructure and data products across the full data lifecycle.

What you'll do

• Design, build, and launch scalable production data models and pipelines from ingestion through transformation, modelling, and consumption.
• Own end-to-end system design decisions, including evaluating tradeoffs and documenting architectural choices.
• Implement data governance frameworks and maintain data quality standards.
• Develop and optimise data ingestion processes from diverse enterprise sources.
• Lead quality assurance by defining testing strategies, identifying risks, and resolving technical issues.
• Translate ambiguous requirements into well-scoped technical work in partnership with product and stakeholders.
• Apply Agile practices to data product development, including stand-ups, sprint planning, reviews, and retrospectives.

What you'll need

• Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent practical experience).
• 5–8 years of hands-on experience building and operating production data pipelines, data models, and platform infrastructure at scale.
• Expert-level SQL and strong Python skills, including performance tuning and schema design for analytical workloads.
• Hands-on experience with Snowflake tools including Snowpark, dynamic tables, data sharing, Snowflake Cortex, and cost optimisation.
• Deep expertise in DBT including advanced modelling patterns, testing frameworks, macro authoring, and governance.
• Strong proficiency with Apache Airflow including DAG design and operational best practices.
• Solid understanding of dimensional modelling, data vault, and semantic layer design.

Details

• Location: Pune, India.