Cognizant

Data Engineer

Cognizant$110K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10-14 years of hands-on data engineering and analytics experience
  • Strong expertise in designing data architectures using BigQuery
  • Experience with data modeling and performance optimization
  • Knowledge of cloud-native services and data ingestion techniques
  • Understanding of data security and compliance standards
  • Ability to collaborate with stakeholders to translate requirements into actionable solutions
  • Proficiency in conducting code reviews and performance assessments

Responsibilities

  • Design scalable BigQuery data architectures for large scale analytics
  • Develop optimized data models and partitioning strategies to enhance performance
  • Create reusable data transformation patterns using BigQuery and cloud services
  • Implement query optimization techniques to reduce processing time
  • Define data security standards and access controls within BigQuery environments
  • Collaborate with stakeholders to translate analytical needs into BigQuery solutions
  • Coordinate adoption of BigQuery best practices across projects
  • Develop monitoring and observability practices for stable system performance
  • Prepare technical documentation for architects and non-technical audiences
  • Conduct code reviews to ensure SQL and data pipelines meet standards
  • Guide migration strategies for existing data warehouses to BigQuery
  • Advise on cost management strategies for sustainable BigQuery usage

Benefits

  • Hybrid work model providing flexibility
  • Opportunity to work on impactful projects benefiting clients and communities
  • Access to advanced tools and technology in data analytics
  • Collaborative team environment with industry experts
  • Career growth and development opportunities through continuous learning programs
Full Job Description
Job Summary

This hybrid role is for an experienced Architect with ten to fourteen years of hands on data engineering and analytics experience focused on BigQuery. The architect will design scalable data platforms optimize complex queries and guide teams in building secure and reliable analytical solutions that help the organization make evidence based decisions and deliver meaningful outcomes for clients and communities.

Responsibilities
  • Design robust BigQuery based data architectures that support large scale analytics and reporting needs while ensuring performance reliability and cost efficiency
  • Develop optimized data models and partitioning strategies in BigQuery that improve query speed data quality and maintainability for complex analytical workloads
  • Create reusable patterns for data ingestion transformation and storage using BigQuery and complementary cloud native services to streamline project delivery
  • Implement query optimization techniques including clustering indexing alternatives and efficient SQL patterns to reduce processing time and resource consumption
  • Define standards for data security access control and compliance within BigQuery environments to protect sensitive information and align with organizational policies
  • Partner with product and business stakeholders to translate analytical requirements into practical BigQuery solutions that deliver measurable value and improved decision making
  • Coordinate with data engineers analysts and platform teams to ensure consistent adoption of BigQuery best practices across projects and environments
  • Develop monitoring and observability practices for BigQuery workloads using logging and metrics to detect issues early and ensure stable system performance
  • Prepare technical design documents solution diagrams and reference guides that clearly describe BigQuery architectures and data flows for technical and nontechnical audiences
  • Conduct code reviews and performance assessments for SQL scripts and data pipelines running on BigQuery to ensure adherence to standards and continuous improvement
  • Provide technical guidance on migration of existing data warehouses and analytics solutions into BigQuery with a focus on risk mitigation and smooth transition
  • Advise on cost management strategies such as workload sizing storage optimization and scheduling to ensure BigQuery usage remains sustainable and predictable

Additional employment information
Compensation 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.

Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

About Cognizant

TriZetto is Powering Integrated Healthcare Management. With technology solutions touching more than half the U.S. population today, TriZetto is uniquely positioned to drive the convergence of core benefit administration, care management and constituent engagement. TriZetto provides premier information technology solutions that enable payers and other constituents in the healthcare supply chain to improve the coordination of benefits and care for healthcare consumers.

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Join the vibrant team at Cognizant, a leading provider of information technology, consulting, and business process services. Cognizant is not just a company; it's a community where innovation, leadership, and diversity are valued and where every team member is encouraged to thrive.

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Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ

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