Job Summary
The Architect role involves designing and implementing scalable data solutions using advanced technologies like MS Data Fabric Power BISpark OneLake SQL PySpark and Have hands- on Experience in Power BI. The candidate will work in a hybrid model collaborating with cross-functional teams to deliver high-quality data architectures that drive business insights and innovation.
Key Responsibilities: Data Engineer
- Pipeline Development: Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Azure Data Factory (ADF) and Azure Databricks.
- Data Transformation: Utilize PySpark and SparkSQL to perform complex data transformations, cleaning, and aggregation.
- Azure Data Lake Management: Work with Azure Data Lake Storage (ADLS) Gen2 and Azure Blob Storage for efficient data handling.
- Data Modeling: Create and optimize data models (conceptual/logical/physical) for Lakehouse architecture (Medallion: Bronze, Silver, Gold).
- Optimization: Perform advanced performance tuning for PySpark jobs and ADF pipelines to ensure reliability and cost efficiency.
- CI/CD & DevOps: Implement CI/CD pipelines for data engineering code using Git, Azure DevOps, or GitHub Actions.
- Collaboration: Work with stakeholders, data scientists, and analysts to translate business requirements into technical solutions
Required Skills: Microsoft Fabric, ADF, Azure Databricks, PySpark, Python, ADLS, SQL, ADO
Certifications Required
Certified Spark Developer Python Data Engineering Certification SQL Database Certification MS Power BI
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com 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.
