Sr. GCP Data Engineer (hybrid)

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 Within AI & Analytics, we work to design the future - a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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

This position responsibility is to design & deploy Data Centric Architecture in GCP for Materials Management platform which would get / give data from multiple applications modern & Legacy in Product Development, Manufacturing, Finance, Purchasing, N-Tier Supply Chain, Supplier Collaboration

Skills Required:

• Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.

• Build ETL pipelines to ingest the data from heterogeneous sources into our system

• Develop data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data

• Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets

• Deploy and manage databases, both SQL and NoSQL, such as Bigtable, Firestore, or Cloud SQL, based on project requirements

• Optimize data workflows for performance, reliability, and cost-effectiveness on the GCP infrastructure.

• Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments.

• Utilize GCP monitoring and logging tools to proactively identify and address performance bottlenecks and system failures

• Troubleshoot and resolve issues related to data processing, storage, and retrieval.

• Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle

• Implement security measures and data governance policies to ensure the integrity and confidentiality of data

• Collaborate with stakeholders to gather and define data requirements, ensuring alignment with business objectives.

• Develop and maintain documentation for data engineering processes, ensuring knowledge transfer and ease of system maintenance.

• Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems.

• Provide mentorship and guidance to junior team members, fostering a collaborative and knowledge-sharing environment.

Experience Required:

• 8 years of professional experience in: Data engineering, data product development and software product launches o At least three of the following languages: Java, Python, Spark, Scala, SQL and experience performance tuning.
• 4 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using: Data warehouses like Google BigQuery.
• Workflow orchestration tools like Airflow.
• Relational Database Management System like MySQL, PostgreSQL, and SQL Server.
• Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub
• Microservices architecture to deliver large-scale real-time data processing application.
• REST APIs for compute, storage, operations, and security.
• DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
• Project management tools like Atlassian JIRA
• Automotive experience is preferred
• Support in an onshore/offshore model is preferred
• Excellent at problem solving and prevention.
• Knowledge and practical experience of agile delivery

Salary and Other Compensation:

The annual salary for this position is between $110,000 - $ 135,000 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.

The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 345,000 associates around the world.
• We don't just dream of a better way - we make it happen.
• We take care of our people, clients, company, communities and climate by doing what's right.
• We foster an innovative environment where you can build the career path that's right for you.

About us:
Cognizant (Nasdaq-100: CTSH) is one of the world's leading professional services companies, helping organizations modernize technology, reimagine processes and transform experiences so they stay ahead in a fast-changing world.

Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. 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 protected characteristic as outlined by federal, state or local laws.

Disclaimer:
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.