Data Engineer
Pixaera (company site, opens in a new tab)RemoteDirect career pageEst. 20–35 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Own the complete data platform including ingestion (Fivetran), warehouse (Snowflake), transformation layer (dbt), and customer-facing dashboards (Omni).
- Ensure accuracy and reliability of customer-visible reports on activity, completion, and performance with ongoing updates alongside new content.
- Drive improvements towards live and near-real-time reporting, monitor pipeline reliability and cost, and integrate data considerations into product design with engineering teams.
Minimum Requirements
- Significant professional experience as a Data Engineer with independent ownership of platforms and customer-facing data outputs.
- Strong proficiency in Python and SQL, with knowledge of data warehousing (Snowflake), transformation tools (dbt), and BI tools (e.g., Omni, Looker).
- Experience deploying data solutions in production with software engineering best practices including testing, code review, and CI/CD.
- Work Experience Required: Significant professional experience as a Data Engineer; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Senior data engineer comfortable with both backend and data pipeline issues, able to communicate complex technical trade-offs to non-technical audiences.
- Experience working remotely with high autonomy, skilled in AI-assisted coding tools and building AI-enhanced data tooling.
- Background in building customer-facing data products and collaborating with cross-functional teams (backend, frontend) to embed data within product features.