The Role

We are looking for a Senior Data Engineer to join Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with robust 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 up-to-date 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

· Solid 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

*· Experien

📌 Senior Data Engineer Mumbai
🏢 ScaleX Consulting
📍 Mumbai