DataOps Lead 15h Left

2 weeks ago

Bengaluru, Karnataka, India Sigmoid Full time
Job Description

As a DataOps Lead, you will be responsible for managing, design highly-scalable and Available solution for data pipelines that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.

This position reports to Devops Architect.

Responsibilities:

- Align Sigmoid with key Client initiatives
- Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
- Connect with VP and Director level clients on a regular
- Travel to client locations
- Ability to understand business requirements and tie them to technologysolutions
- Strategically support Technical Initiatives

- Design, manage & deploy highly scalable and fault-tolerant distributed components using Big data
- Ability to evaluate and choose technology stacks that best fit client data strategy and constraints
- Drive Automation and massive deployments

- Ability to drive good engineering practices from bottom up
- Develop industry leading CI/CD, monitoring and support practices inside the team
- Develop scripts to automate devops processes to reduce team effort
- Work with the team to develop automation and resolve issue

- Support TB scale pipelines

- Perform root cause analysis for production errors
- Support developers in day to day devops operations
- Excellent experience in Application support, integration development and data
- Design roster and escalation matrix for team

- Provide technical leadership and manage it day to day basis

- Guiding devops in day to day design, automation b support tasks
- Play a key role in hiring technical talents to build the future of
- Conduct training for technology stack for developers in house and outside

- Culture

- Must be a strategic thinker with the ability to think unconventional / out:of:box.
- Analytical and data driven
- Raw intellect, talent and energy are
- Entrepreneurial and Agile : understands the demands of a private, high growth
- Ability to be both a leader and hands on 'doer'.

Qualifications: -

8 - 12 years track record of relevant work experience and a computer Science or a related technical discipline is required

- Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as GCP/AWS preferred
- Experience in Shell, Python or any scripting language
- Experience in managing linux systems, build and release tools like jenkins
- Effective communication skills (both written and verbal)
- Ability to collaborate with a diverse set of engineers, data scientists and product managers
- Comfort in a fast-paced start-up environment

Preferred Qualification:

- Support experience in Big Data domain
- Architecting, implementing and maintaining Big Data solutions
- Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, lmpala, Spark,
- Kerberos, KAFKA, etc)
- Experience in container technologies like Docker, Kubernetes Et configuration management systems

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