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About Company :
At Johnson Controls (NYSE:JCI) we transform the environments where people live, work, learn and play. As the global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. With a history of more than 135 years of innovation, Johnson Controls delivers the blueprint of the future for industries such as healthcare, schools, data centers, airports, stadiums, manufacturing and beyond through its comprehensive digital offering OpenBlue.
Job Description :
The Software Developer for Data Solutions will be responsible for designing, implementing, and maintaining data-driven applications. You will work closely with cross-functional teams to analyze requirements, develop robust data pipelines, and create scalable data solutions. This role demands proficiency in programming, database management, and an understanding of data analytics principles.
Roles and Responsibilities:
- Develop and maintain software applications that manage and analyze large datasets.
- Collaborate with data scientists and analysts to implement data models and processing algorithms.
- Build and optimize ETL processes to ensure data integrity and availability.
- Design and enhance user interfaces for data visualization and reporting.
- Participate in code reviews and contribute to the team’s best practices.
- Conduct system testing, debug, and troubleshoot software issues.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- 0-1 year of experience in software development with a focus on data solutions.
- Strong proficiency in programming languages (e.g., Java, Python, or C#).
- Experience with database management systems (e.g., SQL Server, MySQL).
- Familiarity with data visualization tools (e.g., Power BI, Tableau).
- Excellent problem-solving and analytical skills.
Preferred Qualifications:
- Experience with cloud platforms (e.g., AWS, Azure).
- Knowledge of data warehousing and data lake architecture.
- Understanding of machine learning concepts and frameworks.
- Ability to work in an Agile development environment.
