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GCP Data Engineer (onsite- Atlanta, GA)

Cognizant North America

Duluth (MN)

On-site

USD 100,000 - 130,000

Full time

30+ days ago

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Job summary

A leading company is seeking an experienced GCP Data Engineer to design and implement data solutions. The role involves leading projects, ensuring data security, and collaborating with stakeholders to meet business needs. Ideal candidates will have extensive experience in BigQuery and risk management.

Qualifications

  • 10 to 12 years of experience in data engineering.
  • Strong background in BigQuery, BI, and Cloud SQL.

Responsibilities

  • Lead design and implementation of data solutions using BigQuery.
  • Oversee development and maintenance of data models and pipelines.
  • Ensure data security and compliance with industry standards.

Skills

BigQuery
BI
Risk Management
BigQuery ML
Cloud SQL
Problem Solving
Analytical Skills
Communication
Collaboration

Job description

Job Title - GCP Data Engineer

Location - Onsite at Atlanta, GA

Job Summary

We are seeking an experienced Architect with 10 to 12 years of experience to join our team. The ideal candidate will have expertise in BigQuery, BI, Risk Management, BigQuery ML, Cloud SQL, and BigQuery. This role is hybrid with day shifts and does not require travel. The Architect will play a crucial role in designing and implementing data solutions that drive business success.

Responsibilities

  1. Lead the design and implementation of data solutions using BigQuery, BI, BigQuery ML, and Cloud SQL.
  2. Oversee the development and maintenance of data models and pipelines to ensure data accuracy and reliability.
  3. Provide technical guidance and support to the team in the use of BigQuery and related technologies.
  4. Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  5. Ensure data security and compliance with industry standards and regulations.
  6. Develop and implement risk management strategies to mitigate potential data-related risks.
  7. Monitor and optimize the performance of data solutions to ensure efficiency and scalability.
  8. Conduct regular reviews and audits of data systems to identify and address any issues.
  9. Stay up-to-date with the latest advancements in data technologies and incorporate them into the company's data strategy.
  10. Work closely with other teams to integrate data solutions with existing systems and processes.
  11. Provide training and support to team members on the use of data tools and technologies.
  12. Create and maintain documentation for data solutions, including design specifications and user guides.
  13. Participate in project planning and management to ensure timely delivery of data solutions.

Qualifications

  • Possess a strong background in BigQuery, BI, BigQuery ML, and Cloud SQL.
  • Have extensive experience in risk management and data security practices.
  • Demonstrate proficiency in designing and implementing data models and pipelines.
  • Exhibit excellent problem-solving and analytical skills.
  • Show strong communication and collaboration abilities.
  • Display a commitment to staying current with industry trends and best practices.
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