Hyundai Capital America needs to deliver high-impact data solutions that support enterprise goals by understanding data needs and designing/developing scalable data pipelines and information assets using modern technologies.
Requirements
- Proven experience with Data Integration tools such as Informatica, AWS Glue, AWS Redshift, AWS S3, and languages such as Stored Procedures, Python, Spark, etc.
- SQL and Oracle knowledge required.
- Working knowledge in building and optimizing relational and structured data pipelines, architectures and data sets.
- Strong analytic skills to work with unstructured datasets.
- Ability to find solutions on data requirements and issues.
- Ability to conduct code reviews to ensure that the technical output conforms to best practices and standards.
- Ability to communicate and influence Business and IT in terms of understanding the data. requirements, respective data solutions, and technical decisions.
Responsibilities
- Create and maintain optimal data pipeline architecture.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big-data technologies.
- Build data pipelines to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Responsible for collaborating with others on development and delivery of ETL architecture design and ETL programs, Data Reconciliation processes, and Data Services solutions.
- Responsible for ensuring that the technical output of the Data Engineering team conforms to best practices and standards.
- Perform hands-on development of solutions as well as performance optimization, data mappings, and ETL progress design
- Draft technical design and specifications, and data lineage.
Other
- Minimum 8 years progressive experience in data analytics, computer systems engineering, or software engineering.
- Auto-finance experience and specifically Cassiopeia product experience required.
- Bachelor’s degree required.
- Advanced degree preferred.
- Strong collaboration and motivation skills.
- Strong communication skills (verbal and written).
