Data Engineer

Quantum Integrators; Pune District; On-site; INR 900,000 - 1,200,000; Full time

Job summary

A technology company in Pune is seeking a Data Engineer to support enterprise-scale GenAI projects in regulated industries. The ideal candidate has 3-5 years of experience in Data Engineering, strong skills in SQL and Python, and familiarity with cloud-based platforms such as AWS or Azure. This is a full-time position requiring collaboration with AI/ML teams to ensure data security and regulatory compliance. The company offers a dynamic work environment with the opportunity to engage in innovative projects.

Qualifications

• 3–5 years of experience in Data Engineering.
• Strong hands-on skills in SQL and Python.
• Experience with cloud-based data platforms preferred.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Enable high-quality, compliant data for analytics and GenAI workloads.
• Collaborate closely with AI/ML and GenAI teams.

Skills

SQL

Python

DevOps

Communication skills

Education

Cloud certifications (AWS/Azure/GCP)

Tools

Data lakes

Kafka

Kubernetes

Job description

Direct message the job poster from Quantum Integrators

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Job Role: Data Engineer

Experience: 3 to 5 years

Working Hours: US/UK time shift

Notice Period: Immediate or 30 days max

Job Description:

As part of our expanding GenAI & Data Engineering initiatives, we’re looking for a Data Engineer to join our team in Pune and work on enterprise-scale GenAI projects, including clients in regulated industries (Pharma, Life Sciences, Banking).

What you’ll work on:

• Design, build, and maintain scalable data pipelines supporting AI and GenAI use cases
• Work on modern data platforms (data lakes, lakehouse, streaming, Event hub like Kafka, containers, K8s)
• Enable high-quality, compliant data for analytics, ML, and GenAI workloads
• Collaborate closely with AI/ML and GenAI teams (RAG, embeddings, agents)
• Ensure data security, governance, and regulatory compliance in delivery

What we’re looking for:

• 3–5 years of experience in Data Engineering
• Strong hands-on skills in SQL and Python
• DevOps experience will be a huge plus
• Experience with cloud-based data platforms (AWS / Azure / GCP), Any cloud Architect certification will be preferred (even at Associate level but not practitioner)
• Understanding of data modeling, ETL/ELT, orchestration, and performance tuning
• Exposure to regulated environments (Pharma GxP, Life Sciences, BFSI, Healthcare) is a strong plus
• Good communication skills and ability to work in a global delivery model.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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