We are seeking a highly skilled and experienced professional to join our team as an ETL Data Processing Engineer. We require a candidate with experience in ETL and data processing projects. The ideal candidate should have a strong understanding of data ingestion and processing patterns, along with hands-on expertise in relevant technologies.
About Cognizant’s CIS Practice:
Cognizant’s CIS (Cognizant Infrastructure Services) Practice is a global leader in providing IT infrastructure services. We deliver innovative solutions to optimize and transform IT infrastructure, ensuring business agility and operational efficiency. Our services include cloud computing, data center management, network services, and cybersecurity. We focus on understanding client needs and delivering customized solutions to drive business success.
In this role, you will:
Design, develop, and maintain ETL pipelines for data ingestion and processing.Implement efficient data processing patterns to handle large-scale datasets.
Collaborate with cross-functional teams to ensure seamless integration of data workflows.
Write and optimize SQL queries for data extraction, transformation, and loading.
Develop and maintain Unix shell scripts for automation and data processing tasks.
Work with DevOps tools and pipelines to ensure smooth deployment and operations.
Troubleshoot and resolve issues in data pipelines and workflows.
What you will need to succeed:
Spring Boot/Java: Strong expertise in developing backend applications using Spring Boot and Java.
Oracle DB and SQL: Proficiency in writing complex SQL queries and working with Oracle databases.
Unix/Shell Scripting: Experience in creating and managing shell scripts for automation and data processing.
DevOps/UCD Pipeline: Familiarity with DevOps practices and tools, including UrbanCode Deploy (UCD) pipelines.
Experience with Apache Spark for distributed data processing, using Java, Python, or Scala is considered as an asset.
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is an onsite position based in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Compensation: We are offering between $70,000 – $82,000. Applications will be accepted until June 22, 2026.Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
Applications for this position are reviewed by our recruitment team without the use of artificial intelligence screening tools.
Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
