Site Reliability Engineer - Big Data Platform (4-8 yrs)

Work Experience : 4 to 6 years

Official Notice Period : Immediate to 15 days

Excellent communication skills

Job Location : Pune

Shift Timing : Regular shift & UK shift (Should be flexible)

Job Description :

The Role :

- Plan, manage, and oversee all aspects of a Production Environment for Big Data Platforms.

- Define strategies for Application Performance Monitoring, Optimization in Prod environment

- Respond to Incidents and improvise platform based on feedback and measure the reduction of incidents over time.

- Ensures that batch production scheduling and process are accurate and timely.

- Able to create and execute queries to big data platform and relational data tables to identify process issues or to perform mass updates, preferred.

- Performs ad hoc requests from users such as data research, file manipulation/transfer, research of process issues, etc.

- Take a holistic approach to problem solving, by connecting the dots during a production event through the various technology stack that makes up the platform, to optimize meantime to recover.

- Engage in and improve the whole lifecycle of services-from inception and design, through deployment, operation and refinement.

- Analyze ITSM activities of the platform and provide feedback loop to development teams on operational gaps or resiliency concerns.

- Support services before they go live through activities such as system design consulting, capacity planning and launch reviews.

- Support the application CI/CD pipeline for promoting software into higher environments through validation and operational gating, and lead in DevOps automation and best practices.

- Maintain services once they are live by measuring and monitoring availability, latency and overall system health.

- Scale systems sustainably through mechanisms like automation and evolving systems by pushing for changes that improve reliability and velocity.

- Work with a global team spread across tech hubs in multiple geographies and time zones.

- Ability to share knowledge and explain processes and procedures to others.

Requirements :

- Experience in Linux and Knowledge on ITSM/ITIL.

- Experience in the Big Data technologies (Hadoop, Spark, Nifi, Impala)

- 2+ years of Experience in running Big Data production systems.

- Good to have experience in industry standard CI/CD tools like Git/BitBucket, Jenkins, Maven,

- Solid grasp of SQL or Oracle fundamentals

- Experience with scripting, pipeline management, and software design.

- Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.Ability to help debug and optimize code and automate routine tasks.

- Ability to support many different stakeholders. Experience in dealing with difficult situations and making decisions with a sense of urgency is needed.

- Appetite for change and pushing the boundaries of what can be done with automation.Experience in working across development, operations, and product teams to prioritize needs and to build relationships are a must.

- Experience designing and implementing an effective and efficient CI/CD flow that gets code from dev to prod with high quality and minimal manual effort is desired.

- Good Handle on Change Management and Release Management aspects of Software