Role - Sr. Data Engineer
Exp - 5 - 9 yrs
Location - Open
Immediate joiners preferred
Job Description
- :Lead end-to-end delivery of data engineering user stories within Scrum (backlog grooming, planning, development, code review, and release)
- .Build and optimize dbt models (SQL) running on Snowflake; design efficient schemas, materializations, tests, and documentation
- .Develop Treasure Data workflows (Presto/SQL) and decide when to run logic in Treasure Data vs. Snowflake/dbt for cost and performance
- .Write high-quality SQL and Python for transformations, data quality checks, orchestration, and AI/LLM-assisted enrichment (e.g., filling missing attributes, web-sourced enrichment)
- .Establish and champion engineering best practices: code review standards, SQL/Python linters, unit/integration testing, CI/CD, observability
- .Own CI/CD using GitHub Actions (automated testing, linting, environment promotion, release management) with GitHub or similar other tools
- .Partner with Marketing stakeholders, contractors, and vendors to scope use cases, evaluate tooling, and translate requirements into technical designs
- .Serve as a technical lead for a globally distributed team: mentor engineers, provide empathetic feedback, and raise the engineering bar by example
- .Contribute to data governance and privacy-by-design practices; ensure secure handling of customer data and compliance with internal policies
- .Create clear documentation (dbt docs, READMEs, runbooks) and promote good code as documentation.
- 5+ years in data engineering or software engineering with a strong SQL focus; 2+ years leading projects or team
- sExpert SQL across warehousing and query engines; experience with Snowflake and dbt (models, tests, macros, packages)
- .Hands-on Python for data engineering (pandas/PySpark where relevant), quality checks, and integrating external services such as LLMs
- .Practical experience with Treasure Data or similar CDPs; strong understanding of when to execute logic in CDP vs. warehouse
- .CI/CD with GitHub and GitHub Actions; branching strategies; automated testing and linting for SQL and Python
- .Agile/Scrum delivery experience, including story estimation, iterative delivery, and cross-functional collaboration
- .Strong communication, stakeholder management, and team leadership across time zone
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