Cognizant

S/W engg

Cognizant • $120K — $150K *
San Jose, CA 95123In-Person
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Extensive hands-on experience in Python for data engineering with a focus on clean coding and reusable components.
  • Deep proficiency in Databricks SQL, capable of writing complex queries and tuning execution plans for large datasets.
  • Advanced skills in PySpark for building and managing high-volume data pipelines and optimizing transformations.
  • Strong knowledge of Databricks Workflows, including orchestration and scheduling of multistep jobs.
  • Understanding of modern data architecture concepts like lakehouse design and batch processing for enterprise-scale solutions.
  • Experience in hybrid work models for effective collaboration and secure data access across environments.
  • Ability to communicate complex technical designs in business-oriented language for stakeholder comprehension.

Responsibilities

  • Define and maintain data architecture blueprints using Python and Databricks for scalable analytics.
  • Design data models on Databricks to enhance query performance and reduce costs.
  • Develop data ingestion and transformation pipelines ensuring data quality and availability.
  • Configure Databricks Workflows to automate and ensure repeatable execution of data processes.
  • Collaborate with stakeholders to translate analytical needs into technical architectures that deliver business value.
  • Implement data governance practices to enhance data quality and reduce risks.
  • Optimize Python and PySpark code for performance and scalability, following best practices.

Benefits

  • Opportunity to work in a hybrid model, balancing remote and onsite collaboration.
  • Mentorship opportunities for professional development and skill enhancement.
  • Access to contemporary data tools within a leading organization.
  • Engagement with diverse teams across the enterprise to tackle complex data challenges.
  • Focus on building reliable and efficient data architectures that drive business insights.
Full Job Description
Job Summary

Design and optimize robust data platforms as an Architect with extensive experience in Python Databricks SQL Databricks Workflows and PySpark working in a hybrid model during day shifts and focusing on scalable analytics solutions that power critical business decisions while improving data reliability performance and usability across the enterprise.

Responsibilities
  • Define and maintain end to end data architecture blueprints that leverage Python Databricks SQL and PySpark to deliver scalable analytics solutions that directly support enterprise decision making and long term data strategy.
  • Design optimized data models and lakehouse structures on Databricks that improve query performance reduce compute costs and enhance reliability for business intelligence and advanced analytics use cases.
  • Develop robust data ingestion and transformation pipelines using PySpark and Databricks Workflows to ensure timely accurate and well structured data is available for downstream consumption by analysts and data scientists.
  • Configure and orchestrate Databricks Workflows to automate complex data processes enforce dependencies and provide predictable repeatable execution patterns for critical data jobs.
  • Collaborate with product owners and business stakeholders to translate analytical needs into practical technical architectures that align with organizational goals and deliver measurable business value.
  • Implement strong data governance practices including data quality rules validation checks and monitoring frameworks to increase trust in enterprise data assets and reduce operational risk.
  • Optimize Python and PySpark code for performance scalability and maintainability by applying best practices in modular design resource management and efficient data handling approaches.
  • Guide teams on effective use of Databricks SQL for analytics reporting and interactive exploration ensuring queries are tuned and consistent with established data modeling standards.
  • Establish and document architecture patterns standards and guidelines for hybrid work delivery enabling distributed teams to collaborate effectively while maintaining secure access to data platforms.
  • Evaluate new features within Databricks and related data ecosystem tools to recommend improvements that enhance platform capabilities usability and alignment with future business needs.
  • Partner with security and compliance teams to design architectures that protect sensitive data meet regulatory requirements and provide robust access control within the Databricks environment.
  • Mentor less experienced data engineers and architects by sharing best practices in Python development PySpark optimization and Databricks platform usage to elevate overall team capability.
  • Monitor production data pipelines and workflows to proactively identify performance bottlenecks capacity issues or failure patterns and implement sustainable technical remediation.


Qualifications
  • Demonstrate extensive hands on experience designing and implementing data engineering solutions using Python with a strong focus on clean coding practices and reusable components.
  • Show deep proficiency in Databricks SQL including writing complex analytical queries tuning execution plans and working with large scale structured and semi structured datasets.
  • Apply advanced PySpark skills to build high volume data pipelines manage distributed processing and optimize transformations for both performance and reliability.
  • Exhibit strong practical knowledge of Databricks Workflows including orchestration of multistep jobs scheduling strategies and integration with other platform services.
  • Bring solid understanding of modern data architecture concepts such as lakehouse design batch and near real time processing and metadata management for enterprise scale implementations.
  • Demonstrate experience working in hybrid work models that require effective remote and onsite collaboration while maintaining secure and efficient access to shared data environments.
  • Display capacity to communicate complex technical designs in clear business oriented language enabling stakeholders to understand architectural tradeoffs and expected outcomes.


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.

Cognizant Careers

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.

Work You’ll Do

At Cognizant, we are dedicated to helping the world's leading companies build stronger businesses — not just for today but for the future. This commitment to growth and sustainability is what makes Cognizant a unique place to advance your career.

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Whether you're looking for an entry-level position or a more senior role, Cognizant offers a plethora of job opportunities that could be perfect for you. Our hiring process is designed to be transparent and engaging, ensuring that every candidate is able to showcase their skills and potential fully.

Innovative Work

Join a team where innovation is at the core of everything we do. Cognizant’s professionals are not just part of a company; they're part of a groundbreaking environment that combines technology, insights, and leadership to foster innovation across global industries.

Internship Programs

Kickstart your career with Cognizant’s internship programs. These opportunities allow you to gain hands-on experience, develop your professional skills, and network with experts in your field. An internship at Cognizant is a stepping stone to full-time employment and a chance to see how your studies apply in the real world.

Professional Growth and Development

Cognizant is committed to the professional growth of its employees. With access to cutting-edge training, leadership programs, and diversity initiatives, you can build a career that’s equipped for the demands of tomorrow’s business landscape.

Benefits and Culture

Our employees enjoy a range of benefits designed to support their physical, financial, and emotional well-being. Cognizant’s culture is built on a foundation of respect and inclusivity, where everyone’s contribution is valued. Join us and be part of a team that celebrates diversity and is driven to make a positive impact on the world.

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Networking and Interviews

Enhance your career prospects at Cognizant through our robust networking events. Prepare your resume, sharpen your interview skills, and connect with leaders across the industry to unlock new career paths. At Cognizant, we don’t just offer jobs; we offer career journeys. Be part of a team that’s committed to your long-term career growth and professional development. Join Cognizant today and be a part of our success story.
Learn more about Cognizant
Size
340,400 employees
Market Cap
$28.7 billion
Industry
Information Technology
Net Income
$1.3 billion
Founded
1994
5 Year Trend
+6.5%
Revenue
$16.6 billion
NASDAQ
CTSH
* Ladders Estimates

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