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 join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment. At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success. Job Summary : We are looking for a Data Engineer to join our data and analytics delivery practice, supporting client-facing engagements across enterprise data platforms. This role is ideal for an experienced data engineer who combines strong technical depth in Databricks ,cloud technologies, and pyspark. Key Responsibilities: Independently Design and build/configure Big data pipelines as per the design Able to identify and solve big data problems independently. Work closely with Sr. Big data developer to report any issues in build Work on defect fixes during QA & UAT. Work through the life cycle of the code from low-level design to production and Postproductions support Skills required: Strong technical and analytic skills to solve complex big data problems. Experienced with Spark software stack Prior experience in working on Spark using Python or Scala or Java and PySpark based big data implementations. Have strong knowledge and hands-on few of HDFS Map reduce Hive Impala Tej Sqoop Pig Oozie HBase Cassandra Mongo DB Kafka Spark Storm Knox Ranger Flume NiFi Falcon Kerberos Sentry Cloudera Manager Cloudera Navigator and Ambari. Enterprise Competencies Independent High level design and developer Strong communicator Ability to manage stakeholders expectations. Big Data Stack (Spark Hive Hbase Apache Pheonix Pig) Python Scala Kafka Spark Streaming Atlas Pig Java SQL Impala Tej Sqoop Pig Oozie HBase Cassandra Mongo DB Kafka Spark Storm Knox Ranger Flume Nifi Falcon Kerberos Sentry Cloudera Manager Cloudera Navigator and Ambari. Good Experience in CICD & DevOps concepts Good experience working in any cloud environment (Azure / AWS / GCP) using Agile methodology Benefits : Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise. We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority: You can pursue innovative career tracks and opportunities here You can enhance your professional development through education and dedicated training We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future. Please reach out our friendly team for this full time hybrid position. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
