Green Dot Corporation

Green Dot Corporation

Lead ETL Engineer

Los Angeles, California, USA

No sponsorship$140k-$199kDetected 61 days ago
PythonGitSQLRedshiftAWSAzureCI/CDGitHub ActionsJenkinsData EngineeringComplianceAccessibilityTest AutomationLeadershipCommunicationProblem SolvingPublic Speaking

About the role

  • You will join a team delivering a transformative next-gen cloud hosted data platform.
  • The ideal candidate will have a proven track record in implementing next-gen cloud data solutions and transformation pipelines for large scale organizations.

Responsibilities

  • Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data
  • Ensures data warehouse features and capabilities are incorporated into data model designs to optimize performance, resiliency, and scalability.
  • Leading and coordinating the design and operationalization of Data Governance capabilities like - data lineage, data catalog, data quality, etc.
  • Implement intelligent testing frameworks that auto-generate test cases, predict bugs, and enable self-healing.
  • Leads the creation of test strategy, test planning, and test execution related to all aspects of testing like functional, integration, systems, end-to-end testing, accessibility, database validations, and automation.
  • Developing scalable and re-usable frameworks for ingestion of structured and semi-structured data; and implementing various large-scale settlement and reconciliation frameworks.
  • We're Here to Support You-Accommodations Upon Request
  • Our goal is to support every applicant in showcasing their talents and potential.

Requirements

  • 8+ years of overall software development experience is required primarily with Data warehouse applications, with 3+ years in a technical leadership role.
  • 3+ years of development experience with Python scripting experience.
  • Knowledge of data governance, security, and compliance standards (e.g., SOC 2, PCI DSS).
  • Demonstrated expertise in performance tuning in various DB environments with large volumes of data.
  • Familiarity with CI/CD pipelines (e.g., Jenkins, GitHub Actions) and infrastructure-as-code tools.
  • Communication and professional skills and the ability to navigate relationships across business units.
  • All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.

Nice to have

  • Experience in fintech or enterprise data warehouse platforms.
  • Contributions to open-source QA frameworks or technical publications.
  • Ability to work in the U.S. without sponsorship**
  • Green Dot is committed to providing an inclusive and accessible hiring experience for all candidates.
  • We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity.
  • Architecting and maintaining Operational data stores (ODS), Enterprise Data Warehouse (EDW) and associated data intelligence environments including data lakes, data marts, and metadata repositories.
  • Designing and implementing high performance data movement pipelines using multiple ETL tools (Informatica, Azure Data Factory, SQL Packages, etc) with batch and real-time event data streams.
  • and implementing various large-scale settlement and reconciliation frameworks.

Compensation

  • The targeted base salary for this position is $139,900 to $199,300 per year.
  • The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location.

Equal opportunity

  • If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know.

Visa & Work Authorization

  • However, we are currently unable to offer visa sponsorship.
  • All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.
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This listing is sourced directly from Green Dot Corporation's careers page and normalized into a canonical job model.