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
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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.
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