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Senior Data Engineer (AWS & Snowflake)

Remote
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Design, build, and maintain scalable data solutions for analytics and AI/ML products. Lead data integration, CDC pipelines, warehousing, and dimensional modeling using AWS, Snowflake, and related tools. Require 12‑17 years of experience with expert-level SQL, Python, and PySpark.

Key Highlights
12–17 years of data engineering/architecture experience
Expert-level AWS and Snowflake expertise
Fully remote (permanent WFH) with occasional meetups in India
Key Responsibilities
Design and implement scalable data pipelines and integration/CDC processes.
Build and maintain data warehouses and dimensional models using Kimball methodology.
Develop semantic and BI layers to support analytics and reporting.
Collaborate with AI/ML teams to provide reliable data products.
Utilize Airflow and dbt for workflow orchestration and transformation.
Technical Skills Required
Amazon Web Services Snowflake SQL
Benefits & Perks
Permanent work‑from‑anywhere remote arrangement
Nice to Have
Financial services, debt‑settlement, or consumer‑finance domain experience
GenAI/RAG or LLMOps exposure
AWS/SnowPro certifications
Experience with AI development tools such as Copilot, Cursor, or Claude Code

Job Description

🌟 We're Hiring: Data Engineer! 🌟

We are looking for an experienced and innovative Data Engineer to join our team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data solutions. This is a fantastic opportunity to work with cutting-edge technologies, drive business insights, and make a real impact.

📍 Location: Pune, India
⏰ Work Mode: Work from anywhere
💼 Role: Data Engineer

What You'll Do:

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