DataOps Lead

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, 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.