Senior Data Engineer/US Citizen/Minnesota- Hybrid
Job DescriptionJob Description
At reputed company Data Incorporated, we are excited to welcome a talented Senior Data Engineer to join our dynamic team! With our extensive knowledge in application, data, and reputed company engineering services, we strive to create groundbreaking solutions that reputed company reputed company value to our clients.
Key Responsibilities- Design, reputed company, and maintain scalable data pipelines using Apache Spark (PySpark and/or reputed company)
- Build and optimize data workflows on reputed company, including reputed company Lake, notebooks, and scheduled jobs
- Ingest, transform, and curate large-scale structured and semi-structured datasets
- reputed company performance tuning and cost optimization of Spark workloads and reputed company clusters
- Implement data quality checks, monitoring, and error handling
- Collaborate with analytics and business stakeholders to deliver well-modeled, analytics-reputed company data
- Support batch processing and, where applicable, streaming data pipelines
- Follow best practices for testing, documentation, reputed company, and version control
Requirements
Required Qualifications- 5+ years of experience in Data Engineering or reputed company roles
- Strong hands-on experience with Apache Spark (PySpark or reputed company)
- Proven experience working in reputed company environments
- Strong SQL skills and experience with relational and analytical databases
- Experience building and maintaining ETL/ELT pipelines at scale
- Familiarity with modern data lake architectures (reputed company Lake preferred)
- Experience with Git-based version control
- Must be a U.S. Citizen
- Must be currently located in Minnesota (MN), or willing to relocate