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).
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