
Data Engineer: Building Analytical Data Assets
7 days ago
The Data Engineer is responsible for creating and maintaining an optimal data pipeline architecture and implementation of analytical data assets. This role involves working through the BI data acquisition lifecycle.
Key Responsibilities- Assembling large, complex sets of data that meet business requirements.
- Designing and implementing ETL/ELT architecture to meet corporate data management needs and business functional requirements.
- Collaborating with data stakeholders to implement source data into a designed target model.
- Maintaining the integrity and validity of data throughout the ETL processing cycle.
- Facilitating code review to ensure high performance, consistency, and adherence to standards.
- Engaging with cross-functional teams on integration efforts for merging BI platforms with enterprise systems and applications.
- Championing code quality, integrity, and reusability by designing and promoting standards and best practices.
- Bachelor's degree in Computer Science, Information Systems, or equivalent combination of education and experience.
- Minimum 4 years of Business Intelligence development experience.
- Proven experience designing, developing, and deploying Enterprise Business Intelligence solutions.
- Highly proficient in SQL with ability to write and understand complex stored procedures.
- Understanding of systems integrations and data integrations.
- Critical thinking and problem-solving skills are essential.
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