Honeywell Off Campus 2026 Hiring Freshers – Data Management Specialist I

Honeywell’s interview process typically starts with an online aptitude test covering quantitative, logical reasoning, and verbal ability. The technical round focuses on SQL queries, data modeling scenarios, and basic Python coding. The HR round evaluates cultural fit, communication skills, and motivation. Candidates should practice data‑centric problems and be ready to discuss real‑world data projects.

Honeywell promotes a collaborative and inclusive work environment where employees are encouraged to innovate and take ownership of projects. The company offers clear career progression, regular upskilling programs, and a balanced approach to work‑life integration.

Bachelor's degree in Computer Science, Data Management, Information Technology or related engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2025 or 2026; no active backlogs at the time of joining; must be a fresher (0+ years of experience).

Round 1: Online Aptitude Test → Round 2: Technical Interview (coding & data concepts) → Round 3: HR Interview (fit & motivation).

Honeywell is a global leader in technology and manufacturing, operating across sectors such as aerospace, building technologies, performance materials, and safety solutions. With a strong presence in India, the company has been driving innovation through data‑centric products and services, helping clients improve operational efficiency and sustainability. The Bangalore campus serves as a hub for research, development, and digital transformation initiatives, offering a vibrant environment where fresh talent collaborates with seasoned engineers and data scientists. As a Data Management Specialist I, you will be at the core of Honeywell’s data ecosystem. The role is designed for recent graduates who are eager to apply their academic knowledge to real‑world data challenges. You will work closely with cross‑functional teams to design, implement, and maintain data pipelines, ensure data quality, and support analytics initiatives that influence strategic decisions across the organization. Key Responsibilities: 1. Design, develop, and maintain scalable data ingestion pipelines using ETL/ELT tools. 2. Perform data profiling, cleansing, and validation to ensure high data quality. 3. Create and manage metadata repositories and data catalogs. 4. Collaborate with business analysts to translate requirements into data models. 5. Implement data governance policies and ensure compliance with security standards. 6. Monitor and troubleshoot data pipeline performance and resolve issues promptly. 7. Generate regular data quality reports and dashboards for stakeholders. 8. Assist in migration of legacy data systems to modern cloud‑based platforms. 9. Participate in code reviews and adopt best practices for version control. 10. Stay updated with emerging data technologies and suggest improvements. Tech Stack: SQL, Python, Snowflake/AWS Redshift, Apache Airflow, Tableau/Power BI, Git, Linux. Growth Path: Starting as a Data Management Specialist I, high performers can progress to Senior Specialist, Data Architect, or Product Manager roles within 2‑4 years, gaining exposure to large‑scale analytics projects and leadership opportunities. Why Join Honeywell? The company offers a structured graduate program with mentorship, continuous learning, and exposure to cutting‑edge technologies. Competitive salary, performance‑linked bonuses, and comprehensive benefits make it an attractive launchpad for a data‑focused career. The collaborative culture encourages innovation, and the global footprint provides opportunities for international exposure. Overall, this role promises a blend of technical depth, business impact, and professional growth, making it an ideal choice for fresh engineering graduates passionate about data management.