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Lead Data Engineer

Braintree Technology SolutionsHouston, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationHouston, TX, United States
SQLShellGitAWSScrumSonarQubeAirflowDatabricksRedshiftpytestAzureProject ManagementAzure DevOps

Job description

Lead Data Engineer

Looking for local candidates to Houston, TX

The Lead Data Engineer plays a pivotal role in conceptualizing, designing, and implementing data foundations and end-to-end solutions, including data platforms for the Shell Business. This role is instrumental in fostering a data-driven culture within the organization, extending beyond IT teams to the broader business community. The Lead Data Engineer is expected to be a subject matter expert, a thought leader in the organization's data strategy, and the key driver in defining the Vision and Data Strategy for robust and future-ready IT solutions.

Responsibilities

  • Lead the conceptualization and design of data foundations and end-to-end solutions, including data platforms.
  • Act as a visible community leader for data engineers, fostering a culture of data-driven decision-making.
  • Conduct quality, community, and conference presentations/trainings to share knowledge and best practices.
  • Drive change and improvement through a deep understanding of the inter-relationship between People, Process, Data, and Technology.
  • Coordinate the change management process, incident management, and problem management process.
  • Drive implementation efficiency and effectiveness across pilots and future projects to minimize cost, increase speed of implementation, and maximize value delivery.
  • Contribute to community building initiatives like Centers of Excellence (CoE) and Communities of Practice (CoP).
  • Ensure the central data repository is crucial for the PDS Vision 2030.
  • Enhance accessibility, boost productivity, and facilitate better collaboration through the Products Data Exchange (PDE).
  • Enable comprehensive data harmonization and cleansing to ensure data consistency, accuracy, and reliability.
  • Support the achievement of the PDS 2030 Vision by centralizing data management.

Requirements

<>Required Skills
  • Mastery in AWS/Azure/SAP.
  • Expertise in ELT, Data Modeling, Data Integration & Ingestion, Data Manipulation, and Processing.
  • Skilled in GITHUB, Action, Azure DevOps, Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, and PyTest.
  • A skilled communicator capable of speaking to both technical developers and business managers.
<>Preferred Skills
  • Experience in project management and running a scrum team.
  • Experience working with BPC, Planning.
  • Exposure to working with external technical ecosystem.
  • Managing small teams.
  • MKDocs documentation.
  • Portfolio: Shell IDT/Downstream & Renewables IDT/Trading & Supply/TS - Crude & Products/TS - Products/TS - Products Investments Program: Project: Products Data Exchange.

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