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PL

Senior Big Data Engineer

PeopleNTech LLC
πŸ‡ΊπŸ‡Έ United States
On-site
Senior
8 months ago
  • Databricks
  • ETL
  • ELT
  • Agile
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Role:Senior Big Data Engineer
Location: Atlanta, GA 30328, GA
Working Module: Onsite – Hybrid (Work from office 3–4 days per week)
Employment Type: Contract
Contract Duration: 12 Months + possible extension
Experience Required:10+ years
Bill Rate: 85/hr. c2c all inclusive
Number of interviews – 03

Note:Local candidates are preferred as 2nd interview will be in-person in our Nagarro Atlanta, GA office.


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.

Senior Big Data Engineer Β· PeopleNTech LLC

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