Job DescriptionKafka + 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 robust 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

📌 Kafka + Java + Data Engineer (Bengaluru)
🏢 Cognizant Consulting
📍 Bengaluru