Senior Associate – Data Engineering
| Company | AllianceBernstein |
|---|---|
| Location | Minneapolis, MN, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 4+ years of experience in data engineering, data warehousing, or related fields.
- Proficiency in Snowflake, dbt, Fivetran, Python, and SQL for data transformation, automation, and pipeline development.
- Experience with data modeling techniques and best practices for modern cloud-based data warehouses.
- Strong analytical skills with an ability to optimize queries and troubleshoot performance issues.
- Passion for continuous learning, innovation, and contributing to a strong data culture.
- Excellent communication skills and a team-oriented mindset.
Responsibilities
- Design, build, and maintain scalable data pipelines to ingest and integrate data from multiple sources using Fivetran and Snowflake.
- Develop and optimize dbt transformation models to structure and prepare data for analytics and consumption.
- Ensure data quality, integrity, and reliability through robust testing, monitoring, and governance practices.
- Implement data modeling best practices in a data warehouse environment, optimizing for performance and usability.
- Work closely with data analysts, engineers, and business teams to understand data requirements and improve accessibility.
- Collaborate on improving internal data engineering processes, documentation, and best practices.
Preferred Qualifications
- Experience with orchestration tools (e.g., Airflow) and data governance frameworks.
- Familiarity with CI/CD for data pipelines and infrastructure-as-code principles.
- Exposure to big data processing frameworks (e.g., Spark) is a plus.