Senior Data Engineer
First seen by Alion on Oct 5, 2026.
Job Overview :
We are seeking a highly experienced Senior Data Engineer to design, develop, and optimize scalable data pipelines in a cloud-based environment.
The ideal candidate will have deep expertise in PySpark, SQL, Azure Databricks, and experience with either AWS or GCP.
A strong foundation in data warehousing, ELT/ETL processes, and dimensional modeling (Kimball/star schema) is essential for this role.
Key Requirements :
- Strong proficiency in PySpark and SQL for data transformation and pipeline development.
- Experience working in Azure Databricks or equivalent Spark-based cloud platforms.
- Practical knowledge of cloud data environments - Azure, AWS, or GCP.
- Solid understanding of data warehousing concepts, including Kimball methodology and star/snowflake schema design.
- Proven experience designing and maintaining ETL/ELT pipelines in production.
- Familiarity with version control (e.g., Git), CI/CD practices, and data pipeline orchestration tools (e.g., Airflow, Azure Data Factory).
- Experience in the financial domain or understanding of investment banking workflows.
Total Experience : 7 to 9 years.
Skills
Data Engineering, PySpark, SQL, Azure Databricks, Data Warehousing, ETL, Azure Data Factory, Google Cloud Platform