Lead Data Engineer

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.