Engineering Manager

Hi All,

Greetings!

We're hiring for Cognizant for the Engineering Manager/ Azure Data Architect for more quires kindly reach out - [Confidential Information]

ROLE: Engineering Manager/ Azure Data Architect

EXP: 15+ Yrs

LOC: Bangalore

NP: Immediate to 30 Days ( Serving only )

Mandatory skills: Java + Kafka + Hadoop + Spark + Hive + YARN + HDFS + Airflow + Databricks + SQL + NoSQL + Spring Boot + Azure + ADF + ADLS + Jenkins + GitHub + CI/CD

JD for your reference

Skill: POD 5 – Engineering Manager

Location: Bangalore

Experience: 15 Years+

Roles and Responsibilities:

• 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 (Strong skillset need on code review and responsible to ensure code delivered by team should follow best practices and have proper unit test coverage.)
• Responsible for both development and strong expertise to debug and fix any post production issues for their developed 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

Must have skills – findable only

• Java, Kafka and Hadoop ecosystem (Spark, Hive, YARN, HDFS), Linux (on prem), CI-CD (Jenkins, Github),Airflow
• Databricks, SQL and NoSQL DB, Spring/SpringBoot, Azure PaaS, ADF and ADLS, Github, and CICD

Must have skills that can be trained

• Obs (Dynatrace)
• Griffin,
• Hamilton

Nice to have skills

• Scala,
• Cassandra
• Pola.rs
• Ibis
• MongoDB
• Kubernetes
• Docker
• Nifi

Regards

Divya