Sr. Data Engineer

Hyundai Capital America-posted 3 months ago
Senior
Irvine, CA
5,001-10,000 employees
Credit Intermediation and Related Activities
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The Sr. Data Engineer is responsible for partnering with business and technology stakeholders to understand data needs and deliver high-impact solutions that support enterprise goals. This includes leading the design and development of scalable data pipelines and information assets using modern technologies that align with reference architecture and enable timely, iterative delivery. This role requires a proactive, consultative mindset and a strong sense of ownership, driving collaboration, guiding technical direction, and influencing outcomes to ensure that data solutions not only meet requirements, but also empower internal clients to make informed, strategic decisions.

  • 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.
  • Collaborate with others on development and delivery of ETL architecture design and ETL programs, Data Reconciliation processes, and Data Services solutions.
  • Ensure 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.
  • Conduct other related assessments such as Data Analysis, Root Cause Analysis, Impact Analysis, As-Is solution assessment and To-Be solution recommendation.
  • Work closely with Business and IT teams to ensure the delivered solutions meet Data delivery requirements.
  • Partner with other internal stakeholders to assess how technologies can best streamline processes and/or add value.
  • Manage projects effectively and resolve simple to complex problems with urgency and diplomacy.
  • Monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement fixes.
  • Write and maintain custom scripts to increase system efficiency and lower the human intervention time on any tasks.
  • Update process documentation to keep system library up to date.
  • Manage and monitor all installed systems and infrastructure.
  • Validate data solutions against requirements through structured testing and quality assurance.
  • Minimum 8 years progressive experience in data analytics, computer systems engineering, or software engineering.
  • Proven experience with Data Integration tools such as Informatica, AWS Glue, AWS Redshift, AWS S3, and languages such as Stored Procedures, Python, Spark, etc.
  • Auto-finance experience and specifically Cassiopeia product experience required.
  • SQL and Oracle knowledge required.
  • Bachelor's degree required.
  • Advanced degree preferred.
  • Working knowledge in building and optimizing relational and structured data pipelines, architectures and data sets.
  • Strong analytic skills to work with unstructured datasets.
  • In-depth functional expertise and broad business knowledge of data domains.
  • 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.
  • Strong collaboration and motivation skills.
  • Strong communication skills (verbal and written).
  • Medical, Dental and Vision plans that include no-cost and low-cost plan options.
  • Immediate 401(k) matching and vesting.
  • Vehicle purchase and lease discounts plus monthly vehicle allowances.
  • Paid Volunteer Time Off with company donation to a charity of your choice.
  • Tuition reimbursement.
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