The Role

We are looking for a Senior Data Engineer to join Data & AI Practice, working on contemporary data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale.

This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.

What You’ll Be Doing

· Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches

- Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required)
- Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
- Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
- Optimising data performance, reliability, and data quality in live environments
- Collaborating with analysts, data scientists, AI engineers, and platform teams
- Mentoring junior engineers and contributing to shared standards and accelerators

What You’ll Bring

5+ years’ experience in hands‑on data engineering roles

· Strong data engineering skills using Databricks

· Strong programming skills in Python, Java, Spark and advanced SQL





· Need FS experience

· Proven experience building and running data pipelines in production

· Solid understanding of distributed systems and scalable data architectures

· Hands‑on experience with AWS data services and cloud‑native platforms

· Experience with Databricks or similar distributed data processing platforms

· Solid understanding of data modeling and data quality approaches

· Experience building and operating both batch and streaming data pipelines

· Familiarity with CI/CD, monitoring, and operational support of data platforms

· Contribute to technical design discussions and help improve system performance, scalability, and reliability

· Support production systems by troubleshooting issues and implementing improvement.

- Recent hands-on Databricks experience
- Strong use of Python and SQL
- Experience making design or architecture decisions
- Direct stakeholder/customer engagement
- Exposure to complex enterprise data projects

Nice to Have

· Experience enabling ML, AI, or GenAI workloads through solid data foundations

- Exposure to modern BI and analytics tooling
- Experience working in regulated or security‑conscious environments
- Consulting or client‑facing delivery experience

Pay: ₹1,000,000.00 - ₹1,400,000.00 per year

Work Location: Hybrid remote in Mumbai, Maharashtra (Mumbai)

📌 Senior Data Engineer (India)
🏢 ScaleX Consulting
📍 India