Big Data Engineer Hadoop Admin/ Hadoop Consultant 100% Remote

Overview

Remote
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6

Skills

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Job Details

Big Data Engineer Hadoop Admin/ Hadoop Consultant 100% Remote

Must have skills:

  • Data Engineering and Integration Expertise, Data Governance and Security Knowledge, Data Modelling (Capable), Technical delivery, Databricks.
  • Offshore & Client management

Job Description:

  • Oversee the delivery of data projects, including data pipelines, warehouses, lakes, and analytics platforms.
  • Collaborate with architects, data engineers, and data scientists to deliver robust and scalable data solutions.
  • Provide hands-on guidance on data modelling, ETL/ELT workflows, and cloud-based data architectures.
  • Develop and execute detailed project plans, ensuring timely delivery within scope and budget.
  • Manage competing priorities across multiple data delivery streams.
  • Drive adherence to Agile or hybrid project management methodologies.
  • Stakeholder Engagement Serve as the primary technical liaison between clients and delivery teams for all data-related initiatives.
  • Understand client requirements, translating business goals into actionable data solutions.
  • Conduct regular status updates and stakeholder reviews to ensure alignment and satisfaction.
  • Team Coordination Lead onshore and offshore teams to deliver high-quality data solutions.
  • Foster a collaborative work environment, ensuring effective communication and teamwork.
  • Identify and address skill gaps within the team through mentorship or training.
  • Data Quality and Governance Implement data governance policies, ensuring compliance with standards and regulations.
  • Oversee data quality initiatives, including validation, monitoring, and issue resolution.
  • Promote the adoption of best practices for data security, integrity, and privacy.
  • Risk and Issue Management Identify delivery risks and develop mitigation strategies.
  • Address technical and operational challenges proactively, escalating issues when necessary.
  • Reporting and Metrics Track and report on delivery metrics, including data accuracy, timeliness, and system performance.
Provide regular updates to leadership on project health, risks, and financials
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