Data Engineer (ETL / ELT)

Johnson Controls is a global leader in smart, healthy, and sustainable buildings. With operations in over 150 countries, we are committed to driving innovation and excellence in building technologies and integrated solutions. Our people are at the heart of our success, and we are passionate about attracting and developing top talent across the globe. We are looking for a Data Engineer - Logistics & Distribution. What will you do? As a Data Engineer within the Logistics & Distribution (L&D) organization, you will be responsible for designing, building, and maintaining data pipelines to support business intelligence and analytics initiatives. This includes: • Developing ETL/ELT processes using tools such as Informatica PowerCenter, Talend, or AWS Glue; • Collaborating with stakeholders to understand requirements and develop data solutions that meet their needs; • Designing and implementing data quality controls to ensure data accuracy and integrity; • Troubleshooting and resolving data-related issues in a timely manner; • Staying up-to-date with industry trends, best practices, and emerging technologies in the field of data engineering. What do we offer? As a Data Engineer within our L&D organization, you will have the opportunity to work on high-impact projects that drive business results. You will also have access to: • A comprehensive training program to help you develop your skills and knowledge; • Collaborative and dynamic work environment with a team of talented professionals; • Competitive compensation and benefits package; • Opportunities for professional growth and development. Requirements: • Bachelor's degree in Computer Science, Information Technology, or related field; • 3+ years of experience in data engineering, ETL/ELT, or a related field; • Strong understanding of data modeling, data warehousing, and business intelligence concepts; • Experience with data visualization tools such as Tableau, Power BI, or QlikView; • Familiarity with cloud-based technologies such as AWS, Azure, or Google Cloud Platform; • Excellent analytical, problem-solving, and communication skills. Certifications: • AWS Certified Data Engineer - Specialty; • Google Cloud Certified - Professional Data Engineer; • Microsoft Certified: Azure Data Engineer Associate.