Kafka + Java + Data Engineer

Kafka + Java + Data Engineers:- Extensive experience designing and developing streaming pipelines, data platform to handle high volume data processing, distributed system for both batch and realtime- Strong Expertise in– Java, Kafka and Hadoop ecosystem (Spark, Hive, YARN, HDFS), Scala, Cassandra, Linux (on prem), CI-CD (Jenkins, Github), Obs (Dynatrace).- Design and implement real-time streaming pipelines using Kafka- Develop producers and consumers for high-throughput, fault-tolerant systems- Responsible for both development and strong expertise to debug and fix any post production issues- Implement Kafka-based event-driven architectures- Experience with Databricks, Azure Cloud PaaS Services, Azure Data Factory, ADLS, Kubernetes, GitHub, Docker, and CI/CD workflows- Experience in scripting, ETL (Pandas, Pola.rs, PySpark, Ibis), SQL, and NoSQL databases (Cassandra, MongoDB)- Understanding of system architecture concepts: distributed systems, caching, replication, data modeling- Leads : Role is 70% of time in Design, Architect, Coding and 30% of time in team mentoring, guidance, coordination- Responsible for both development and strong expertise to debug and fix any post production issues for their developed code- Interview ask : To write optimal code (in Java/Kafka/Python/Pyspark) in timeboxed period for scenario given (covering data quality, transformation) without AI tool and code to be accurate. To resolve code issue for a bug introduced in sample code- Excellent written and verbal communication skills- Experience working in Agile environments; familiarity with cloud platforms- Experience with orchestration tools (e.g. NiFi, Griffin, Hamilton, Airflow)- Functional experience of Retail Banking, capital markets, securities processing will be advantage

About Cognizant:

Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap 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, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai 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.