Position Name | Senior Data Engineer |
Location | Mumbai Location |
Work Mode | Hybrid Model - 3 days |
Experience | 5+ Years |
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Notice Period | Immediate Joiners only
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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 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 strong data foundations
- Exposure to modern BI and analytics tooling
- Experience working in regulated or security‑conscious environments
- Consulting or client‑facing delivery experience
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