
Data Information Architect
13 hours ago
Data Engineer Job Description
The Data Engineer plays a critical role in creating and maintaining an optimal data pipeline architecture, ensuring the organization's analytical data assets are accurate and efficient.
Key Responsibilities- Designing and implementing large-scale data sets that meet business requirements, including non-functional and functional needs.
- Crafting ETL/ELT architecture to support corporate data management and business objectives, emphasizing scalability, maintainability, extensibility, flexibility, and integrity.
- Collaborating with data governance teams to implement source data into target models, guaranteeing seamless integration.
- Maintaining data integrity throughout the ETL processing cycle by implementing reconciliation processes and error handling based on source-to-target comparisons.
- Fostering code review with data governance to ensure high performance, consistency, and adherence to standards.
- Promoting cross-functional team collaboration on integration efforts for merging BI platforms with enterprise systems and applications.
- Advocating for code quality, integrity, and re-usability within the department through standardized practices and documentation.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Management Information Systems, Mathematics or equivalent combination of education, training, and experience.
- A minimum of four years of Business Intelligence development experience.
- Three years of experience with Data Warehousing methodologies/designs and processes (ETL, Data Modeling).
- Proven track record designing, developing, and deploying Enterprise Business Intelligence solutions to production.
- Highly proficient in SQL, with the ability to write and understand complex SQL Server programmable objects such as stored procedures with Dynamic SQL.
- Understanding of systems integrations and data integrations.
- Critical thinking is essential, along with problem-solving skills that enable root cause analysis and implementable solutions.
- Experience in Real Estate is beneficial.
- Familiarity with various project development life cycle methodologies, such as Waterfall Model, agile/scrum, user stories, and backlogs.
- Knowledge of GitHub or other version control tools is a plus.
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