IS DevOps & Data Quality Engineer

As an IS DevOps & Data Quality Engineer at ABB, your role involves designing, developing, and maintaining robust data solutions and automated workflows to enhance insights into data quality. Your key responsibilities include: - Designing, developing, and optimizing SQL queries, stored procedures, and database solutions - Developing and integrating data pipelines and workflows using Azure Data Factory (ADF) - Implementing API-based integrations for seamless data flow across systems - Automating data processes and workflows to improve efficiency - Ensuring data quality reporting to identify anomalies and maintain high data integrity - Exploring and integrating LLMs (Large Language Models) and AI-driven solutions for data analysis and automation - Troubleshooting and resolving issues related to data pipelines and automation processes - Collaborating closely with cross-functional teams, including data analysts, engineers, and business stakeholders Qualifications for this role include: - Bachelor's or Master's degree in fields such as Computer Science, Business Administration, Information Systems, or Business Analytics - Developing custom automation tools and applications using C# and Python - Extensive Data Integration and Source System Expertise - Hands-on Solution Architecture, Software development, Data Governance, and Quality Assurance experience - Proficiency in DevOps, Azure Solutions Architect, SQL, Snowflake, ADF, Monitoring Tools, and Data Ingestion Metrics - Strong Cross-Functional Collaboration Skills along with continuous Improvement and Automation If you are passionate about creating sustainable solutions and want to be a part of a team that values care, courage, curiosity, and collaboration, then this role at ABB could be the next chapter in your career story.,