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GCP Services, Pyspark

00069122411

AIA - Gurgaon
Exp - 5.5 yrs to 9 yrs

Job Summary

Serve as a senior developer specializing in data and application solutions on Google cloud ecosystem designing and implementing scalable services using platforms such as BigQuery Cloud Spanner Cloud SQL AlloyDB and Google Distributed Cloud while ensuring robust risk management and high quality standards for cards and payments use cases in a hybrid work model.


Responsibilities

  • Design and implement scalable data processing pipelines using Dataproc Metastore and BigQuery to support complex analytics and reporting for critical business functions in a day shift hybrid work model.
  • Develop and optimize secure data ingestion patterns using Datastream and Cloud Storage that enable near real time data availability for analytical and operational workloads across the enterprise.
  • Build highly available transactional services using Cloud Spanner Cloud SQL AlloyDB and Google Cloud Firestore that power core applications while meeting strict performance and reliability targets.
  • Configure and manage BigLake to provide a unified governed data access layer that simplifies analytics across data lakes and warehouses while improving data discoverability and reuse.
  • Create and maintain metadata and schema management strategies using Dataproc Metastore and Datastore to ensure consistent data definitions and high quality across multiple projects and environments.
  • Utilize Google Distributed Cloud and Anthos to design and implement hybrid and multi location application deployments that enable consistent operations across on premises and cloud environments.
  • Apply structured risk management practices throughout design development and deployment activities to identify document and mitigate risks related to data integrity security and regulatory compliance.
  • Use Google Cloud Datalab and related tooling to explore data validate transformation logic and prototype analytical solutions that can be productionized for business critical reporting.
  • Implement and enforce secure access patterns across Cloud Storage BigQuery and other data services to safeguard sensitive information especially for cards and payments scenarios when relevant.
  • Collaborate with architects product teams and testers to refine technical requirements estimate effort and deliver high quality features that align with organizational objectives and client expectations.
  • Perform code reviews and quality checks for cloud native applications and data workflows to ensure adherence to best practices in reliability observability and maintainability.
  • Create clear technical documentation covering solution design data flows configuration details and operational runbooks to support efficient knowledge transfer and sustainable operations.
  • Optimize cost and performance of cloud resources by tuning queries storage layouts and cluster configurations to maximize value from the Google cloud platform investments.


Qualifications

  • Demonstrate strong proficiency in designing and building solutions using Google Distributed Cloud Anthos and core services such as Cloud SQL Cloud Spanner AlloyDB and Google Cloud Firestore for transactional and operational workloads.
  • Exhibit hands on experience with data engineering on Google cloud including BigQuery BigLake Dataproc Metastore Datastream Cloud Storage Datastore and Google Cloud Datalab to deliver end to end analytical solutions.
  • Show practical understanding of risk management principles and their application in software development and data engineering including secure coding data protection and regulatory awareness.
  • Display proven ability to troubleshoot complex performance and reliability issues across distributed data pipelines and cloud native applications using diagnostic tools and observability practices.
  • Prefer background in cards and payments domain with knowledge of transaction flows settlement processes and common data patterns to translate business needs into robust technical designs.
  • Illustrate strong communication and collaboration skills to work effectively in a hybrid model with cross functional teams while managing priorities and delivering outcomes within agreed timelines.


Certifications Required

Google Professional Data Engineer or Google Professional Cloud Database Engineer or equivalent Google cloud certification relevant to listed services

About Cognizant: 
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.

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.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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