About the Role
As a Senior Data Engineer, you will design and build scalable Data Hubs that support analytical, reporting, operational, and Generative AI use cases. This role involves defining standards, best practices, and architecture patterns, mentoring engineers, and ensuring high-quality data solutions.
Key Responsibilities
· Data Hub Architecture – Design and implement efficient, scalable Data Hubs integrating multiple data sources.
· Technical Leadership – Define best practices, patterns, and standards, ensuring consistency across implementations.
· Mentoring & Strategy – Guide engineers, review code, and provide technical direction.
· Data Pipelines – Develop batch and real-time data processing workflows.
· Quality & Monitoring – Implement data validation, anomaly detection, and automated monitoring, taking action when needed.
· Automation & CI/CD – Enable seamless deployment and infrastructure automation.
· Security & Compliance – Ensure data governance, security, and regulatory compliance.
· Documentation – Maintain clear, structured technical documentation.
Required Skills and Experience
· Python, SQL – Strong data engineering and automation expertise.
· Databricks & Spark – Deep knowledge of Databricks (primary tool) and Apache Spark.
· Azure Data Stack – Experience with Data Factory, ADLS, Synapse, Azure SQL, Event Hubs.
· Real-Time Processing – Expertise in streaming data and real-time analytics.
· Automation & DevOps – Proficiency in CI/CD, Terraform, Kubernetes/AKS, Docker.
· Leadership & Mentoring – Ability to set direction, mentor engineers, and drive best practices.
· Documentation & Communication – Clear, structured technical writing and knowledge sharing.
· Language Skills – English proficiency, minimum B2 level. Polish proficiency, minimum B2 level.
Technology Stack
· Primary Tools – Databricks, Apache Spark, Delta Lake.
· Azure Services – Data Factory, ADLS, Azure SQL, Synapse, Azure DevOps, Event Hubs.
· Development & Automation – Python, SQL, GitHub, Terraform, Docker, Kubernetes/AKS.
What We Offer
· Private healthcare, life insurance, and cafeteria benefits
· Training programs and certifications
· Inclusive culture and volunteering opportunities
· Employee referral program
· Collaborative, innovative environment
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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.
