DataOps Lead

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, modelling, 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

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.