▷ Apply Now Sr. Data Engineer

4 weeks ago


Pune India Tech Mahindra Full time

Job Description 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 s



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