Confluent Kafka Administrator

Big Data Confluent KAFKA Administrator Tech Lead

Creation of key performance metrics, measuring the utilization, performance, and overall health of the cluste Perform highlevel, daytoday administration and support functions

Capacity planning and implementation of new/upgraded hardware and software releases as well as for storage infrastructure.

Research and recommend innovative ways to maintain the environment and where possible, automate key administration tasks.

Ability to work with various infrastructure, administration, and development teams across business units

Document and share design, build, upgrade and standard operating procedures. Conduct knowledge transfer sessions and workshops for other members in the team. Provide technical expertise and guidance to new and junior members in the team

Implemented and supported any enterprise product such as any well known ERP products, Data warehouse, Middleware etc.

Minimum 6 years of experience in BigData administration using KAKFA and related tools like Spark etc.

Minimum 4 years of experience in setting up the environment for solutions that collects and process data using Kafka Spark, Scala

Expert on Kafka Big Data solutions along with sound understanding of Kafka architecture

Manage single and multi-node Kafka cluster deployed on VM, Docker and Kubernetes Container platform. Experience with Confluent Platform running on prem

Perform Kafka Cluster build, MRC, including Design, Infrastructure planning, High Availability and Disaster Recovery

Implementing wire encryption using SSL, authentication using SASL LDAP authorization using Kafka ACLs in Zookeeper, Broker Client, Connect cluster connectors, Schema Registry, REST API, Producers Consumers, KsqlDevelop and maintain Unix scripts to perform day to day Kafka Admin and Security related functions using Confluent REST Proxy server

Setting up monitoring tools such as Prometheus, Grafana to scrape metrics from various Kafka cluster components Broker, Zookeeper, Connect, REST proxy, Mirror Maker, Schema Registry and other endpoints such as webservers, databases, logs etc. and configure alerts for Kafka Cluster and supporting infrastructure to measure availability and performance SLAs

Experience with Confluent ksql to query and process Kafka streams

Knowledge of Kafka Producer and Consumer APIs, Kafka Stream Processing, Confluent Ksql

Security related config for above listed software or any other tools in SSL for wire encryption, integration with AD for authentication and RBAC for authorizations

Database administration skills in Oracle, MSSQL, SAP HANA, DB2, Aerospike, Postgres..

Exposure to SaaS based observability platform like New Relic

Deployment of container images and pods using CI/CD pipelines using Jenkins or comparable tools.

Experience in building Kafka deployment pipelines using Terraform, Ansible, Cloud formation templates, shells etc.

Availability to work in shifts, extended hours and to provide on call support as required. There will be work over weekends at times depending on the project needs.

Worked in Public cloud environment such as Azure or AWS or GCP, preferably in Azure

Must have excellent communications and interpersonal skills Preferred but Optional skills

Experience in a Financial Services or large complex and or global environment preferred

Effective written and verbal communication skills

Effective analytic diagnostic skills

Good presentation skills

**About Virtusa**

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 30,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.