We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results
New

GCP BigQuery Data Engineer

Cognizant North America
life insurance, parental leave, paid time off, paid holidays, 401(k)
United States, Ohio, Cleveland
Apr 04, 2025

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies. By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Summary

We are seeking an experienced Data Engineer with 10 + years of experience to join our team. The ideal candidate will have strong technical skills in Cloud SQL BigQuery Cloud Dataproc and Cloud Dataflow. Experience in Reconciliation (BFS Payments) is a plus. This is a hybrid work model with day shifts and no travel required.

Responsibilities

  • Lead the design and implementation of cloud-based data solutions using Cloud SQL BigQuery Cloud Dataproc and Cloud Dataflow.
  • Oversee the development and deployment of scalable data pipelines and workflows.
  • Provide technical guidance and mentorship to the development team.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Ensure the security and compliance of data solutions with industry standards and best practices.
  • Optimize data storage and retrieval processes for performance and cost-efficiency.
  • Conduct code reviews and ensure the quality of the codebase.
  • Troubleshoot and resolve technical issues related to data processing and storage.
  • Stay updated with the latest trends and technologies in cloud data solutions.
  • Develop and maintain documentation for data architecture and processes.
  • Participate in project planning and provide estimates for development tasks.
  • Communicate effectively with stakeholders to provide project updates and gather feedback.
  • Contribute to the continuous improvement of development processes and practices.

Qualifications

  • Must have strong technical skills in Cloud SQL BigQuery Cloud Dataproc and Cloud Dataflow.
  • Should have experience in designing and implementing cloud-based data solutions.
  • Must have a minimum of 12 years of experience in data architecture and development.
  • Should have experience in Reconciliation (BFS Payments) domain is a plus.
  • Must have excellent problem-solving and troubleshooting skills.
  • Should have strong communication and collaboration skills.

Certifications Required

Google Cloud Professional Data Engineer Certification is required.

Salary and Other Compensation:

Applications will be accepted until 05/03/2025

The annual salary for this position is between $90,000 - $ 123,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical/Dental/Vision/Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term/Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. Cognizant is an Equal Opportunity Employer M/F/D/V. Cognizant is committed to ensuring that all current and prospective associates are afforded equal opportunities and treatment and a work environment free of harassment. Cognizant is recognized as a Military Friendly Employer and is a coalition member of the Veteran Jobs Mission. Our Cognizant Veterans Network Assists Veterans in building and growing a career at Cognizant that allows them to leverage the leadership, loyalty, integrity, and commitment to excellence instilled in them through participation in military service.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#LI-JM1

#CB

#IND123

Qualifications

  • Must have strong technical skills in Cloud SQL BigQuery Cloud Dataproc and Cloud Dataflow.
  • Should have experience in designing and implementing cloud-based data solutions.
  • Must have a minimum of 12 years of experience in data architecture and development.
  • Should have experience in Reconciliation (BFS Payments) domain is a plus.
  • Must have excellent problem-solving and troubleshooting skills.
  • Should have strong communication and collaboration skills.

Certifications Required

Google Cloud Professional Data Engineer Certification is required.

Applied = 0

(web-6468d597d4-xmtz2)