Data Engineer

Experience: 12–17 years, data engineering/architecture Core stack: AWS and Snowflake (expert level), plus Airflow/dbt Scope: data integration/CDC, pipelines, warehousing, dimensional modelling (Kimball), semantic/BI layer, and exposure to AI/ML data products Languages: expert-level SQL, Python, and PySpark Also looking for hands-on experience using AI development tools (Copilot, Cursor, Claude Code, etc.) for engineering productivity Location: Remote (Permanent WFH), with 2–3 in-person team meetups in India per year Nice to have: financial services / debt-settlement / consumer-finance background, GenAI/RAG or LLMOps exposure, AWS/SnowPro certifications