Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, skilled services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Job Overview:

We are looking for a Senior Data Engineer to drive the design and development of scalable, cloud-native data platforms within the Center of Innovation (COI). The role focuses on building robust, high-performance data ecosystems using Databricks / Data Fabric / Snowflake with Python, enabling enterprise-wide analytics and data-driven applications.

Key Responsibilities:
- Build & optimize batch and real-time data pipelines.
- Develop ETL/ELT workflows and data models.




- Implement lakehouse architectures (Delta/Medallion).
- Manage platforms (Databricks / Snowflake / Fabric).
- Ensure data quality, governance, and performance.
- Enable CI/CD, automation, and cloud optimization.
- Collaborate with BI, analytics, and business teams

Key Skills:
- 6+ yrs data engineering | 4+ yrs on Databricks / Snowflake / Fabric.
- Strong Python, PySpark, SQL, Spark.
- Experience with AWS / Azure / GCP.
- Expertise in lakehouse/data platform architecture.
- ETL/ELT pipeline development.
- Airflow / Workflows, Git, CI/CD, Docker.

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Candidat

📌 Senior Data Engineer (India)
🏢 Orion Innovation
📍 India