We're reinventing the market research industry. At Numerator, we believe tomorrow's success starts with today's market intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding of AI/ML techniques and big data processing frameworks like Apache Spark and PySpark.

Adhere to coding and Numerator technology standards

Build suitable automation test suites within Azure DevOps

Maintain and update automation test suites as required

Carry out manual testing, load testing, exploratory testing as required





Work closely with Business Analysts and Senior Data Developers to consistently achieve sprint goals

7-10 years of experience in data engineering roles

- Valuable Python skills
- Experience working with Microsoft Azure Cloud
- Experience in Agile methodologies (Scrum/Kanban)
- Experience with Apache Spark, PySpark, Databricks
- Experience working with Devops pipeline, preferably Azure DevOps

Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field.

Experience working in a support focused role

Knowledge/experience in AI ML techniques

Certification in relevant Data Engineering discipline or related fields.

📌 (Senior) Data Engineer (ML, Big Data)
🏢 Numerator
📍 Vadodara