Data Engineer

The Data Engineer creates and maintains data pipelines for key data and analytics capabilities in the enterprise. This position works in collaboration with analytics and data warehousing staff, DBAs and subject matter experts to create reliable processes that load targeted data with integrity and quality, enabling it for strategic use by the business.

• Collaborate within an agile, multi-disciplinary team to develop optimal data integration and transformation solutions.
• Document and analyze data requirements (functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives.
• Profile data to assess the accuracy and completeness of data sources and work with business partners to mitigate issues.
• Build and maintain data pipelines for using appropriate tools and practices in development, test and production environments. Design with modularity to leverage reuse of code wherever possible.
• Create data mappings, programs, routines and SQL to acquire data from legacy, web, cloud and purchased package environments into the analytics environment.
• Use a mix of ELT, ETL, data virtualization and other methods to optimize the balance of minimal data movement against performance.
• Maintain metadata management processes and documentation.
• Monitor data quality to detect emerging issues and consult with the team to create transformation rules to cleanse against defined rules and standards.
• Participate in code reviews and unit testing to optimize performance and minimize issues.
  
  Job Specifications
  
  Typically has the following skills or abilities:
  
  Bachelor’s degree in computer science, data science, statistics, economics or related functional area; or equivalent experience
  Effective written and verbal communication skills with the ability to gather requirements and effectively collaborate with teammates and business partner
• 4+ years’ experience working in a development team providing analytical capabilities
  4+ years of hands-on experience in the data space spanning data preparation, SQL, integration tools, ETL/ELT / data pipeline design
• SQL coding experience
• Familiarity with agile development environments (Scrum, Kanban) with a focus on Continuous Integration and Delivery
• Previous experience using a data integration platform (IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo), and familiarity with data warehouse MPP platforms such Snowflake, Netezza, Teradata, Redshift, etc.
• Familiarity with event store and stream processing (Apache Kafka and platforms like Confluent) and with API development and management platforms (MuleSoft, Axway) is also beneficial
• Capable of focusing on a specific set of tasks while also ensuring alignment to a broader strategic design
• Exhibits the traits of a pro-active, self-driven contributor, who values continual learning and the adoption of new technology
• For roles that are remote (i.e., Work From Home (WFH)) or hybrid (i.e., partial onsite at a VSP location and WFH), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment