Job Title: Senior Data Engineer
Experience : 5+ years
Location : Hyderabad

About the Role
We’re looking for a Data Engineer to join our team and help build the data foundation that powers analytics, experimentation, machine learning, and operational decision-making .

What You’ll Do
- Build trusted data products: Design and maintain dbt models that produce reliable datasets, metrics, and features used by Data Science, Analytics, ML, and business teams.
- Develop scalable data pipelines: Build and operate Databricks and PySpark pipelines that transform raw operational events into high-quality, analysis-ready data.
- Understand the business: Develop deep familiarity with company's operations so that the schemas, datasets, and models you build accurately represent how the business works.
- Orchestrate workflows: Build and manage end-to-end data workflows using Airflow, with Prefect where appropriate, ensuring reliable SLAs for daily models, dashboards, and operational decisions.
- Partner with Data Science: Collaborate with Data Scientists to design, productionize,



and maintain feature pipelines and the data infrastructure supporting ML models.
- Raise the quality bar: Participate in code reviews and improve data quality, testing, observability, documentation, and engineering standards across the team.
- Optimize for scale: Improve dbt and Spark workloads for performance, cost, reliability, and maintainability as data volumes grow.
- Learn and adapt: Quickly pick up new technologies and approaches by working with teammates, documentation, experimentation, and hands-on problem solving.
- Embrace AI-native engineering: Use up-to-date AI coding assistants and agentic development workflows to improve productivity, engineering quality, and experimentation.

What You Bring
- 5+ years of experience building, testing, and deploying data engineering systems in production.
- Strong SQL skills and production experience with one or more of PySpark, dbt, or Airflow .
- Experience work

📌 Senior Data Engineer (India)
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📍 India