Sr. Data Engineer - (Python, SQL, BI tools)

Sr. Data Engineer - (Mandatory - Python, SQL, BI tools) Location: India, Remote

Work Experience: 7-12 Years

Requirements:

• 5+ years in data engineering, analytics engineering, or data platform roles.
• Nice to have a Google BigQuery - data modeling, optimization, and governance.
• Experience with Python ETL and SQL pipelines.
• Strong experience with any one of the BI tools in the modern data stack (Periscope, Looker, Metabase, Tableau, or equivalents).
• Strong understanding of data governance - lineage, cataloging, PII controls, and access management.
• Basic experience/knowledge in dbt (data build tool) - project setup, testing, and documentation.
• Experience with Amplitude or other product analytics platforms.
• Prior work in EdTech or B2C SaaS data environments.
• Exposure to AI for BI or semantic layer tooling.

Qualifications: Bachelor of Technology (B.Tech) / Master of Technology (M.Tech).

• Implement and enhance end-to-end data pipelines (batch and/or streaming) to ingest data from diverse source systems into the enterprise data platform, following agreed architecture and patterns.
• Engineer robust ETL/ELT workflows to transform, cleanse, and standardize data, ensuring conformance with canonical data models and business rules.
• Build and optimize data layers (raw, curated, semantic) that enable self-service analytics, BI, and data-science use cases, with particular focus on performance, scalability, and cost efficiency.
• Industrialize data solutions by implementing re-usable frameworks, templates, and components for ingestion, quality checks, logging, and monitoring.

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