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The Data Engineer Lead will develop ETL systems, manage data migration projects, evaluate data systems, and collaborate on data architecture solutions.
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Key Responsibilities
- Gather, analyze, and document business requirements for data-driven projects.
- Work closely with stakeholders across Product, Engineering, and Data teams.
- Translate business needs into functional specs and user stories.
- Assist in data mapping, validation, and quality checks with the data engineering team.
- Support UAT and ensure delivered features meet business expectations.Create reports, dashboards, and visualizations to aid decision-making
Required Skills
- 2–4 years of experience as a Business Analyst.
- Exposure to data engineering tools and processes (ETL, data pipelines, data warehousing).Strong communication and documentation skills.
- Experience working in Agile environments.Proficiency in tools like JIRA, Confluence, Excel, and basic SQL.
Nice to have
- Experience with platforms like Snowflake, Redshift, or BigQuery.Familiarity with BI tools (Tableau, Power BI, etc.).
Work Hours
- Flexibility to work India night shift with overlap until 3 PM Pacific Time.
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
