Lead Engineer - 1,CI/CD DevOps Engineer

Overview Overview: • Work closely with Data Engineering Architecture, Ingestion & Consumption Teradata Data Engineer, DevOps, Azure Data Engineer, and Infrastructure • Lead efforts to design and implement the end-to-end CICD non-container and container platforms. • Setting up build agents with appropriate binaries, configurations, and proxy settings. • Driving development & adoption of Self-Service capabilities & Automation Responsibilities Accountabilities: • Developing ADO tasks, variable groups, pipelines that can be used across similar solution types. • Knowledge of PowerShell scripting to automate the daily routine tasks. • Monitor ADO pipelines for failures and diagnose/resolve problems. • Assisting with operationalizing experimental Databricks and Synapse code • Creating & maintaining documentation, on-boarding procedures & conduct training sessions on DevOps process • Work with DevOps core teams to integrate CI/CD with standard Azure tooling • Work with development and different teams to improve performance & configuration. • Implement monitoring & alerting for critical components of platform. • Migrate code from dev to production. • Apply hot fixes, maintenance packages, & perform upgrades. • Knowledge on Azure ecosystem like Azure data lake, Azure Dataflow, etc. • Should be able to establish end to end continuous integration and continuous deployment and guide the team on best practices and help them release product/application fast. • Provide 24x7 support as required for releases & maintenance. Qualifications Years of Experience: • Bachelor's degree or equivalent experience in solutions engineering and design experience • 3+ years of experience deploying and configuring software configuration management, build, deployment process, CI/CD, and other application life cycle management (ALM) tools on Microsoft Azure/Windows & Linux-based systems. Mandatory Technical Skills: • Experience in DevOps, Azure, ADO, CM, Linux, UNIX and/or Windows with a strong bias towards automated deployment and operations • Experience with designing, building, implementing, and supporting monitoring tool solutions, telemetry, alerts & monitoring – AppInsights, Dynatrace, Splunk, Azure Monitor • Experience in Debugging & Troubleshooting build and deployment issues Experience setting up automation related to: • Job Schedules (Azure Databricks Jobs and Azure Data Factory) Databricks Notebook Mandatory Non Technical skills: Strong written, presentation and oral communication capabilities, ability to influence and successfully interface with leadership Ability to manage multiple demands with a sense of urgency and lead change successfully Differentiating Competencies: Collaboration across all stakeholders