Data Engineering & Warehousing - Cognizant

Details of the offer

Position Title: Lead Data Engineer Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses.
Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work.
Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.
Our Culture Your passion, integrity and experience are integral to Cognizant's success.
You will be welcomed into a dynamic and expanding global leader in IT and Business Consultancy.
We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients are fundamental to your success.
In return, you will be empowered with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.
As part of a truly global company, you will have the ability to grow and learn in a diverse, collaborative culture.
We foster relationships and learning through connected global and local teams, promote flexible and diverse career paths and support the development of your knowledge and skills.
Key Responsibilities & Experience Must have 10 -15 years' experience working in Data Engineering and Data Warehousing Minimum 4+ years of hands-on experience in Big Data tools (not limited to) Spark Python Informatica BDM Scala Cloudera and /or Hortonworks toolset Kafka Hive/HBASE Good knowledge of SQL Databricks Experience in requirements engineering, design, and development/deployment.
Must have strong verbal and written communication skills for working with both business and technical teams Experience in streaming frameworks (Kafka/Spark Streaming) is preferred Play a key role in Architecture, Design, and implement data pipelines in Bigdata platforms Understand business requirements and develop solution designs to address business requirements.
Architect, design & build robust and scalable data infrastructure (both batch processing and real-time) to support the needs of internal and external users Enhance, optimize, and maintain existing data ingestion, transformation, and extraction pipelines, and assets built for reporting and analytics on Big Data/ lakehouse platforms Drive optimization, testing, and tooling to improve data quality & data governance Assemble large, complex data sets that meet functional / non-functional business requirements.
Don't hesitate to contact our Cognizant team today to apply and register your interest in this full-time position.
We're looking forward to meeting you.
At Cognizant, we engineer modern businesses to improve everyday life because we're dedicated to making a lasting impact.
Cognizant (Nasdaq: CTSH) engineer's modern businesses.
We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world.
Together, we're improving everyday life.
See how at www.cognizant.com or @cognizant.
The 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.
Cognizant is a global community with more than 300,000 associates around the world.
We don't just dream of a better way – we make it happen.
We take care of our people, clients, company, communities and climate by doing what's right.
We foster an innovative environment where you can build the career path that's right for you.
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.


Nominal Salary: To be agreed

Source: Talent_Ppc

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