Data Engineer Job Responsibilities:
- Develops and maintains scalable data pipelines and builds out integrations to support continuing increases in data volume and complexity.
- Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Works closely with a team of frontend and backend engineers, product managers, and analysts.
- Defines company data assets (data models), and ETL/ ELT jobs to populate data models.
- Designs data integrations and data quality framework.
- Designs and evaluates open source and vendor tools for data lineage.
- Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Data Engineer Qualifications / Skills:
- Knowledge of best practices and IT operations in an always-up, always-available service
- Experience with or knowledge of Agile Software Development methodologies
- Excellent problem solving and troubleshooting skills
- Process oriented with great documentation skills
- Excellent oral and written communication skills with a keen sense of customer service
Education, Experience, and Licensing Requirements:
- BS or MS degree in Computer Science or a related technical field
- 4+ years of Python or Java development experience
- 4+ years of SQL Server SQL experience (No-SQL experience is a plus)
- 4+ years of SSIS/ SSRS/ SSAS experience
- 2+ years of Azure Data Factory, Blob Storage, Azure Data Warehouse experience
- 4+ years of experience with schema design and dimensional data modeling
- Ability in managing and communicating data warehouse plans to internal clients
- Experience designing, building, and maintaining data processing systems