Summary
As a Software Developer in the Data Solutions team, you will be responsible for designing and implementing data-centric applications and pipelines.The role involves working closely with analysts, data engineers, and cross-functional teams to translate business requirements into scalable data-driven solutions.
Candidates who enjoy problem-solving, working with large datasets, and developing efficient systems will thrive in this environment.
Experience : freshers can apply
Company : Johnson Controls
Position : Software Developer Data Solutions
Qualification : degree
Location : pune
Key Responsibilities
- Build and maintain applications that process, manage, and analyze large volumes of data.
- Collaborate with data scientists and analysts to develop and integrate data models.
- Design and optimize ETL workflows to ensure seamless data availability.
- Support the creation of dashboards and reporting solutions through advanced data visualization.
- Participate in peer reviews to ensure code quality and adhere to best practices.
- Test, debug, and resolve issues in applications to improve performance and reliability.
Required Qualifications
- Bachelor’s degree in Computer Science, IT, or a related field.
- 0–1 year of experience in software development or data-related projects.
- Strong knowledge of databases (MySQL, SQL Server, or other RDBMS).
- Familiarity with visualization tools
- Ability to troubleshoot efficiently and think analytically.
Preferred Experience
- Hands-on experience with Azure Data Factory, Snowflake, Databricks, or similar platforms.
- Knowledge of data warehouse/lakehouse systems.
- Basic understanding of machine learning concepts.
- Comfort working within Agile frameworks.
What Johnson Controls Offers
- A competitive compensation package.
- Strong opportunities for growth and professional development.
- A collaborative and inclusive culture that values innovation and teamwork.
Application Process
Interested candidates can apply by submitting their latest resume along with a cover letter highlighting technical skills, academic background, and any relevant project experience in software or data solutions.
