Data Engineer ( Data Bricks)
Overview:
In this Data Engineer role at Ampcus, you design and deliver scalable data pipelines to support enterprise data solutions. You will work with cross-functional teams to translate business needs into robust data models and optimized warehouses. You'll leverage Databricks, Python, SQL, and cloud platforms to build ETL/ELT workflows and ensure performance. This position offers hybrid Beaverton, with a focus on modern data tooling and DevOps practices to scale data capabilities. You contribute to a collaborative, growth-oriented environment at a global technology and business consulting firm.
Responsibilities:
- Build scalable ETL/ELT pipelines and data engineering solutions
- Collaborate with business and cross-functional teams to deliver enterprise data solutions
- Optimize data models and data warehousing for performance
- Contribute to DevOps practices with Git, CI/CDLeverage cloud platforms and orchestration tools to manage data workflows
Key requirements:
- 5+ years IT experience with 5 years in data engineering
- Hands-on Databricks (PySpark, Spark SQL, Delta Lake)
- Strong Python and SQL programming
- Experience with Azure/AWS/GCP, preferably Azure
- Experience with orchestration tools (ADF/Airflow)
- Knowledge of data modeling, data warehousing, performance optimization
- Git, CI/CD, and DevOps best practices
- Knowledge of Delta Live Tables, Unity Catalog, and Structured Streaming (preferred)collaborationanalytical thinkingproblem-solving
- DatabricksPySparkSpark SQL