Data Engineer

We’re hiring!

At Cognizant we have an ideal opportunity for you to be part of one of the largest companies in the digital sector worldwide. A Great Place To Work where we look for people who contribute new ideas, experiencing a dynamic and growing environment. At Cognizant we promote an inclusive culture, where we value different perspectives providing career growth and development opportunities. #WelcomeToCognizant!

We have an exciting opportunity for an exceptional individual to work supporting one of our clients as Data Engineer

Responsibilities

• Design robust enterprise data architecture that aligns business objectives with scalable data warehouse solutions ensuring reliable data availability for analytics and operational reporting in a hybrid work environment.
• Develop and optimize complex SQL and Google Big queries and scripts to transform validate and aggregate large data sets improving performance and accuracy for critical business intelligence workloads.
• Configure and manage ETL workflows using IBM Infosphere Datastage to extract transform and load data from diverse source systems into centralized data warehouse structures adhering to quality and compliance standards.
• Implement comprehensive data integration strategies that unify structured and semi structured data across applications enabling consistent data views that support informed decision making and regulatory needs.
• Establish and refine scheduling basics for batch and near real time jobs by defining schedules dependencies and recovery procedures that keep data pipelines predictable and resilient during day shift operations.
• Collaborate with product operations and analytics stakeholders to translate functional requirements into detailed data models and mapping specifications that drive trustworthy reporting assets for the organization and society.
• Review existing data warehouse schemas and data flows to identify inefficiencies then propose and implement architectural enhancements that reduce latency optimize storage usage and improve query response times.
• Define and maintain metadata data lineage and documentation for all data integration processes enabling transparent traceability of data from source to consumption and supporting audit and governance activities.
• Provide technical guidance to development and operations teams on best practices for SQL coding standards Datastage job design and ETL error handling fostering a culture of quality and reliability across projects.
• Coordinate hybrid collaboration routines with onsite and remote colleagues to plan releases validate test results and ensure smooth deployment of new or enhanced data solutions without impacting business continuity.
• Monitor data pipeline executions and warehouse performance dashboards to proactively identify bottlenecks or anomalies initiating corrective actions that protect data freshness and stakeholder confidence.
• Drive continuous improvement initiatives that leverage automation parameterization and reusable components in ETL and integration workflows reducing manual effort and accelerating delivery of new data capabilities.
• Ensure that all data architecture and integration designs observe organizational policies for security privacy and compliance contributing to responsible use of data that benefits customers and the wider community.

Qualifications

• Demonstrate advanced proficiency in SQL and Google Big Queries by crafting efficient queries procedures and functions that support complex transformations and high volume transactional workloads.
• Apply deep understanding of data warehousing concepts such as dimensional modeling star and snowflake schemas and slowly changing dimensions to design resilient analytical repositories.
• Utilize strong ETL and data integration experience to build modular Datastage jobs and frameworks that handle data extraction transformation and loading across multiple environments with minimal defects.
• Show practical knowledge of scheduling basics including job calendars dependency handling and restart mechanisms to maintain consistent pipeline execution across hybrid teams and systems.
• Bring solid experience in IBM Infosphere Datastage configuration tuning and migration activities to ensure high throughput maintainability and scalability of enterprise data integration solutions.

Why Cognizant?

• Improve your career in one of the largest and fastest growing IT services providers worldwide
• Receive ongoing support and funding with training and development plans
• Have a highly competitive benefits and salary package
• Get the opportunity to work for leading global companies
• We are committed to respecting human rights and build a better future by helping your minds and the environment
• We invest in people and their wellbeing.
• We create conditions for everyone to thrive. We do not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered.

Igualdad de Empleo y Política de Acción Afirmativa:

Cognizant es un empleador que ofrece igualdad de oportunidades. Todos los solicitantes calificados recibirán consideración para el empleo sin distinción de sexo, identidad de género, orientación sexual, raza, color, religión, origen nacional, discapacidad, estado de veterano protegido, edad o cualquier otra característica protegida por la ley.

At Cognizant we believe than our culture make us stronger!

#BeCognizant #IntuitionEngineered