Advanced Data Engineer

3 days ago

Bengaluru, IndiaSenior

Responsibilities

Design, build, test, deploy, and support scalable data pipelines, data models, and integration flows using Azure, Databricks, GitHub, SQL, Python, and Spark.
Build and maintain Databricks solutions using notebooks, Jobs, Workflows, Delta Lake, Delta Live Tables or Lakeflow Declarative Pipelines, and Unity Catalog.
Translate product and business requirements into maintainable technical solutions and contribute to estimation, design reviews, and delivery planning.
Implement data quality rules, automated tests, lineage, monitoring, alerts, infrastructure as code, and CI/CD for secure and repeatable changes.
Optimize Spark workloads, storage, orchestration, and compute for performance, reliability, and cost.
Apply enterprise security, privacy, governance, compliance, and relevant GxP controls.
Investigate incidents and recurring defects, identify root causes, and implement preventive improvements.
Contribute reusable components, engineering standards, and documentation, and support less-experienced engineers through code reviews and knowledge sharing.

Typically 5+ years of experience in data engineering or software engineering with ownership of production-grade data solutions.
Strong hands-on skills in SQL, Python, Spark, data modeling, and distributed data processing.
Practical experience with Azure Databricks, including notebooks, orchestration, Workflows, Delta Lake, and Unity Catalog.
Experience implementing CI/CD, automated testing, and infrastructure as code.
Working knowledge of data quality, observability, metadata, lineage, role-based access controls, and secure engineering practices.
Ability to independently solve complex engineering problems within defined architecture and platform guardrails.
Clear communication skills and ability to work across product, business, and technology teams.
Bachelor’s degree in computer science, engineering, information technology, or a related field, or equivalent relevant experience.
Experience with supply chain systems such as planning, logistics, or warehousing is useful but not essential.
Cloud or Databricks certifications are useful but not essential.

Trusted ownership of work and support to perform at the employee’s best.
Hands-on growth opportunities on production-grade data platforms with experienced colleagues.
Opportunity to shape engineering standards and the direction of AI-ready data for manufacturing and supply chain.
Inclusive recruitment process and equality of opportunity for all applicants.
Role based in Bengaluru, India, with a global scope; applications are reviewed on an ongoing basis.
Application deadline: 26 Nov 2026.