Data Engineer

Rapsys Technologies Pte Ltd.

Pune District

Remote

INR 350,000 - 550,000

Full time

3 days ago
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Job summary

Rapsys Technologies Pte Ltd. is seeking an experienced Data Engineer to design, build, and scale data pipelines and data platforms. The role emphasizes AWS and Snowflake expertise, Airflow, and dbt, with proficiency in SQL, Python, and PySpark.

The position supports data integration, CDC, warehousing, and dimensional modelling, along with exposure to AI/ML data products. This is a remote, permanent WFH role with 2–3 in-person meetups in India per year.

Qualifications

  • 12–17 years of hands-on data engineering/architecture experience.
  • Core stack: AWS and Snowflake (expert level), plus Airflow/dbt.
  • Languages: expert-level SQL, Python, and PySpark.
  • Hands-on experience using AI development tools (Copilot, Cursor, Claude Code, etc.) for engineering productivity.

Responsibilities

  • Design, build, and maintain scalable data solutions.
  • Develop data integration/CDC pipelines and warehousing models.
  • Implement dimensional modelling (Kimball) and semantic/BI layers.
  • Collaborate on AI/ML data products exposure and governance.

Skills

Data engineering
SQL
Python
PySpark
Data modeling
Architecture design

Tools

AWS
Snowflake
Airflow
dbt
Copilot
Cursor
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 from anywhere

  • Data Engineer


What You'll Do:


  • 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

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