Automation Team Lead managing all on - site industrial controls systems at Zoetis. Focused on compliance and efficiency in automation for pharmaceutical standards.
About the role
- Automation Engineer responsible for solution implementation and support in Boldr's application and data platforms. Operate in a hybrid environment focusing on automation and data integration solutions.
Responsibilities
- Solution Implementation: Translate 'To-Be' process blueprints and functional requirements (developed by the operational excellence lead) into deployable technical solutions, prioritizing security and reliability.
- Platform Development: Build, test, and maintain low-code applications (e.g., Appsmith, internal tools) and automation workflows (e.g.,n8n, custom scripting) that directly address the bottlenecks identified in business processes.
- Integration Specialist: Ensure secure and reliable data flow and connectivity between various platforms using APIs and custom scripts.
- Code Review: Conduct internal code reviews for automation scripts and Appsmith changes before deployment.
- Data Pipeline Coverage: Provide essential Tier 1/Tier 2 support for the Data Engineering function. This includes monitoring production ETLs (Airflow DAGs), performing first-line troubleshooting, checking logs, and safely executing restart procedures when the Lead Data Engineer is unavailable.
- Software Support: Provide development support to the Product/Solution team during periods of slow workflow automation demand, focusing on internal application maintenance, bug fixes, and feature enhancements.
- Data Flow & Quality: Maintain a solid grasp of data flow mechanisms, validation techniques, and ETL concepts to ensure that data consumed by the automation layer is accurate and reliable.
Requirements
- Curious and authentic, just like us! #beboldr
- Versatile: You thrive in a dynamic, hybrid environment, easily shifting focus between solving a deployment bug and troubleshooting a data pipeline failure.
- Detail-Oriented: Focused on delivering clean code and accurate data, understanding the necessity of meticulous logging and testing.
- Resilient: Willing to quickly learn and step into critical functions (like ETL monitoring) to ensure business continuity during team absences.
- Collaborative: Excellent at communicating technical constraints and solutions clearly to non-technical stakeholders and the Data Engineering Lead.
- A Bachelor’s Degree in a relevant field or equivalent experience.
- Software Development: 3+ years of hands-on experience in modern software development, specifically using languages like Python (for scripting/data handling) and/or JavaScript/Node.js (for application/integration logic).
- Automation Execution: Proven experience executing and maintaining workflows on automation platforms (e.g. n8n, Zapier, Make, etc.).
- Data Engineering Fundamentals: Strong foundational knowledge of data flow concepts, relational databases (PostgreSQL/MySQL), and basic SQL proficiency. Experience with ETL/ELT concepts is required.
- Cloud Platform Exposure: Practical experience using core services in cloud environments (AWS, GCP) for deployment, logging, and monitoring purposes.
- Tooling Experience: Direct experience working with/integrating HRIS, ATS, or CRM tools (e.g. BambooHR, Rippling, Zendesk, Hubspot).
- Availability to align with Eastern Time Zone.
Job title
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