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Quick summary:
Experience: 8+ years, data engineering
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
Back End Developers
Software Engineer
Big Data Engineer
Data Platform Engineer
Lead Data Engineer
Principal Data Engineer
Python - 8 years
SQL - 8 years
AWS - 8 years
PySpark - 8 years
Snowflake - 8 years
Apache Airflow - 5 years
RAG - 3 years
DBT - 5 years
It Services and Product Engineering Firm
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