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