Stockholm, SWE
31 days ago
Junior Data Engineer
What makes Cognizant a unique place to work? The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU — people with an entrepreneurial spirit who want to make a difference in this world. At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative and successful. And this is your chance to be part of the success story: we are looking for a Data Migration Architect to join our team in Sweden. **About the team** Cognizant collaborates with all major hyperscale’s and relevant software vendors in the data and AI space. This includes partnerships with industry leaders such as AWS, Microsoft, Google, Snowflake, and Databricks. Our comprehensive approach ensures that we leverage the best tools and technologies to deliver scalable, secure, and efficient solutions. Additionally, we are supported locally by our dedicated Centres of Excellence, which operate both nearshore and offshore. These centres provide specialized expertise and resources, ensuring that we can meet the unique needs of our clients and drive innovation in AI and data cost effectively. **About the role** We are looking for a motivated and detail-oriented Junior Data Engineer to join our BFS analytics team. You will support the development and deployment of scalable data products on a modern enterprise analytics platform powered by Azure, Databricks, Immuta, and Unity Catalog. This role offers hands-on experience in data product architecture, pipeline development, and integration with legacy and modern data systems. **Key Responsibilities:** + Assist in designing and building data products with a foundational understanding of data product architecture. + Develop and maintain data pipelines using Python, Spark, and Databricks. + Support integration efforts with Ab Initio or Informatica ETL tools. Collaborate with senior engineers to implement CI/CD and MLOps workflows. Participate in release planning and deployment activities across environments. + Work within a SAFe Agile framework, contributing to sprint planning, reviews, and retrospectives. + Document data processes, lineage, and metadata for governance and audit readiness. **Required Skills & Experience:** + 1–3 years of experience in data engineering or related field. + Basic proficiency in Python, SQL, and Spark. • Exposure to Azure and Databricks platforms. + Familiarity with ETL tools such as Ab Initio or Informatica. + Understanding of DevOps/MLOps concepts and tools (e.g., Git, Azure DevOps). + Experience working in Agile environments, preferably SAFe Agile. + Strong analytical and problem-solving skills. + Preferred Qualifications: + Internship or project experience in BFS or data analytics domain. + Certifications in Azure Fundamentals or Databricks. + Exposure to data governance tools like Immuta or Unity Catalog **What you can expect** + Become part of a ‘flag ship’ success story - We go through enormous growth! + Organization driven by technology – We have a tremendous technology backbone + Environment where you can make your own ideas reality + Drive your own career + Market conforms benefits Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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