Data Engineering Lead
First seen by Alion on Sep 19, 2026.
Role Overview :
We are seeking an experienced Azure Data Engineer to join our client team. The ideal candidate will have a strong background in Azure Databricks, Azure Data Factory, Pyspark, Python and SQL, with a proven track record of delivering high-quality data solutions.
Responsibilities :
- Design, develop, and maintain data solutions using Databricks and Pyspark.
- Collaborate with cross-functional teams to gather and analyze requirements for data integration and processing.
- Optimize SQL queries and data pipelines to ensure efficient data retrieval and storage.
- Leverage Oracle EBS expertise to enhance data management strategies and support business operations.
- Monitor and troubleshoot data workflows, ensuring data accuracy and reliability.
- Document processes and provide training to team members as necessary.
Tech Stack & Requirements :
- Extensive experience with Databricks and Pyspark for big data processing.
- Proficiency in SQL for database management and data manipulation.
- Strong understanding of Oracle EBS and its data structures.
- Excellent problem-solving skills and attention to detail.
- Ability to work collaboratively in a fast-paced environment.
What We Offer :
- Competitive salary and benefits package.
- Opportunity to work with a talented and innovative team.
- Exposure to cutting-edge technologies and tools in the data engineering field.
- A flexible and supportive work environment that encourages professional growth.
Skills
Python, PySpark, Azure Data Factory, Azure Databricks, Data Engineering, Azure SQL, SQL, Big Data