07 Sep
|
Hireologist
|
Hyderabad
07 Sep
Hireologist
Hyderabad
Job Description
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 recent technologies and approaches by working with teammates, documentation, experimentation, and hands-on problem solving. Embrace AI-native engineering: Use modern 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 working with at
📌 Senior Data Engineer (Hyderabad)
🏢 Hireologist
📍 Hyderabad