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Senior Big Data EngineerPeopleNTech LLCUnited States
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Senior Big Data Engineer

PeopleNTech LLC
  • US
    United States
  • US
    United States

About

Role
:
Senior Big Data Engineer
Location
: Atlanta, GA 30328
, GA
Working Module
: Onsite – Hybrid (W
ork 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.
  • United States

Languages

  • English
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