JOB DESCRIPTION
Responsibilities
· Plan, build, and implement data solutions based on Data Bricks.
· Design and build Modern Data Pipelines and Data Streams.
· Develop and Maintain Data Warehouse.
· Design and create ETL processes supplying Data Warehouse.
· Implement effective metrics and monitoring process.
· Preprocess of structured and unstructured data, and create queries in the database.
Essential Skills Needed
Must have at least 8+ years of experience in Azure implementation Hands-on experience in Azure Databricks Good working knowledge in any of the following components: Azure Data Factory, Azure Data Lake, Azure SQL DW, Azure SQLNice to have skills:
Knowledgeable with PySpark Experience with any programming language used for data engineering purpose, Python, Scala R, Java, EtcOther qualifications:
Bachelor’s Degree in Computer Science, IT, or any related field Must be amenable to work in a morning shift Amenable to work in a hybrid setupThe Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World’s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Our commitment to diversity and inclusion:
Cognizant is an equal opportunity employer that embraces diversity, champions equity and values inclusion. We are dedicated to nurturing a community where everyone feels heard, accepted and welcome. 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 protected characteristic as outlined by federal, state or local laws.
Disclaimer:
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.