Responsibilities:

- Partner closely with business to understand problems, shape requirements, and define data solutions with clear outcomes.

- Lead and mentor the data engineering team, driving engineering best practices and delivery excellence.

- Provide technical leadership across architecture, development, troubleshooting, and delivery to drive execution speed and quality.

- Collaborate with Data Architects, Data Scientists, and Product Owners to enable business adoption of AI and advanced analyticsdriven decision making.

- Drive innovation and continuous improvement by challenging existing processes and proposing new solutions.

- Maintain and evolve the data platform for business reporting and AI workloads.

- Partner with Data Product Owners to define clear technical designs and execution plans aligned with business outcomes.

- Design and maintain scalable data ingestion frameworks supporting both batch and streaming use cases.

Experience & Skills:

- 8 years of experience in Data & Analytics, including hands-on experience with Azure data engineering technologies.





- Strong hands-on experience with Python, SQL, and PySpark.

- Strong understanding of Databricks Unity Catalog for data governance and security, along with CI/CD using DevOps.

- Experience in designing scalable, secure data architectures and building AI-ready data platforms.

- Proven ability to work with business and technical stakeholders to gather requirements and translate them into high-impact data solutions.

- Solid sense of ownership, accountability, and execution discipline across multiple initiatives.

- Excellent communication skills, with the ability to handle high-impact business stakeholder interactions effectively.

SKILLS AND EXPERTISE

Mandatory Skillset

- Recent 5+ years of experience in Azure services/tools

- Python

- SQL

- PySpark.

- Databricks Unity Catalog for data governance and security

- Strong sense of ownership, accountability, and execution discipline across multiple initiatives.

📌 Data Engineer Qnity (Bengaluru)
🏢 Affine Analytics
📍 Bengaluru