Job Summary
A company is looking for a Senior Data Solutions Engineer.
Key Responsibilities
- Design and implement optimized ETL pipelines and manage distributed compute jobs
- Collaborate with Solution Architects and lead technical discussions within a development team
- Manage data movement, ingestion triggers, and pipeline tuning in a production Azure environment
Required Qualifications
- Experience with Python, Spark, Databricks, Azure Event Hub, and Azure Data Factory
- Ability to write optimized ETL pipelines and handle large-scale data transformations
- Lead developer experience working with a team of at least 12
- Knowledge of execution models, partitioning strategies, and performance tuning in Azure's ecosystem
- USC/GC/H4 EAD eligibility due to security reasons
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