BS in Computer Science or equivalent education/professional experience is
3-5+ years in a data-engineering role with demonstrable experience with data
integration and data warehouse projects.
Experience with data modeling, warehouse design, and fact/dimension concepts.
Experience working with different query languages (i.e. T-SQL, PostgreSQL, PL-
Experience in data integration projects and automation via ETL Tools (i.e. Talend,
Informatica, SSIS, etc.).
Experience in Hadoop (Hive, Spark, Impala, etc.) ecosystem is a plus.
Experience working with code repositories and continuous integration (i.e. Git,
Understanding of development and project methodologies.
Ability to work collaboratively in teams with other specialized individuals.
Able to work in a fast-paced, technical environment.
Good verbal and written communication skills.
Responsible for the maintenance, improvement, cleaning, and manipulation of data
in the business’s customer data platform and analytics databases.
Works with the business’s data analytics teams, data scientists, and software
engineers in order to understand and aid in the implementation of database
requirements, analyze performance, and troubleshoot any issues.
Defines and builds the ETL and data pipelines to enable faster, better, data-informed
decision-making within the business.
Deliver quality work on defined tasks with little oversight and direction.
Ensure all deliverables are of high quality throughout the project by adhering to
coding standards and best practices and participating in code reviews.
Participate in integrated test sessions of components and subsystems on test and
Serve as technical resource during software development life cycle to solve
business issues through the process of identifying and analyzing detailed
requirements that translate into data integration and database system designs.
Solve business issues through the process of identifying and analyzing detailed
requirements that translate business requirements into technical system designs.
Use information gained through prior experience, knowledge sharing with other
Technology Associates, education and training to resolve issues and remove project
Provide status updates to team members on a regular basis and clearly escalate
issues and risks to project management as needed.
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