Data Engineer developing and optimizing data pipelines for Santander's corporate data lake. Collaborating within an agile team focused on strategic projects.
About the role
- Data Engineer developing data platforms and solutions at Rocket Close. Engaging in data management and analytics across cross-functional teams.
Responsibilities
- Engage in design, development, and maintenance of data platforms and solutions
- Apply data management principles to data pipelines
- Develop Extract, Load, Transform (ELT) processes
- Work cross-functionally with teams to build products
- Diagnose data quality issues
- Develop relational and non-relational data models
- Monitor performance in large-scale data lake environments
Requirements
- 3-5 years of experience or equivalent competency building data solutions
- Expertise in relational and non-relational databases
- Experience with cloud services for real-time data pipelines
- Degree or equivalent competency in computer science, information technology, or a related field
- 3 years of experience analyzing data for deliverables, gaps, and inconsistencies
- Expertise writing simple and complex SQL queries (Snowflake, AWS, etc.)
- Technical skills in Python, Airflow, GitHub, Advanced SQL, Advanced Excel, PowerBI/Tableau
- Experience accessing and developing REST APIs
Benefits
- Competitive compensation package
- Medical, dental, and vision benefits
- 401K retirement plan
- Paid-time off
- Annual bonus and incentives
- Career growth opportunities
- Family support services
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