Opportunity brief
Burns & McDonnell is hiring Trainee
Responsibilities of the Candidate:
-
Data Integration & Support
- Assist in integrating and maintaining data from multiple business systems and sources. - Support the development and monitoring of data pipelines under the guidance of senior engineers. - Learn and work with APIs, databases, file-based integrations, and cloud-based data systems. - Help validate, clean, and organize structured and unstructured data for analytics and reporting purposes. - Participate in troubleshooting and resolving basic data-related issues. -
Data Transformation & Analytics Support
- Support data transformation and preparation activities for reporting and analytics. - Write and optimize basic SQL queries and scripts for data extraction and analysis. - Assist teams in understanding business requirements and translating them into data-related tasks. - Gain exposure to enterprise analytics, automation, and modern data engineering practices. - Learn concepts related to machine learning, AI integration, and advanced analytics platforms. -
Pipeline & Platform Learning
- Collaborate with senior team members to understand data pipeline orchestration and workflow management. - Assist in maintaining documentation for data processes, workflows, and technical activities. - Learn software development best practices including version control, testing, and change management. - Participate in internal learning programs, technical training, and knowledge-sharing sessions.Collaboration & Continuous Improvement - Work closely with developers, analysts, QA teams, and business stakeholders in a collaborative environment. - Support continuous improvement initiatives for data quality, efficiency, and reporting processes. - Follow organizational standards related to data privacy, security, and governance. - Demonstrate curiosity and proactive learning toward emerging technologies and enterprise platforms
Requirements:
- Basic understanding of data engineering, databases, and ETL concepts. - Foundational knowledge of SQL and relational databases. - Basic understanding of programming concepts using languages such as Python, Java, or similar technologies. - Academic exposure to cloud platforms, distributed systems, analytics tools, or enterprise data platforms is a plus. - Familiarity with data visualization, APIs, or automation concepts is beneficial. - Interest in learning modern enterprise platforms, cloud ecosystems, and data engineering technologies. -
Soft Skills
- Strong analytical and problem-solving mindset. - Eagerness to learn and adapt to new technologies and business environments. - Good verbal and written communication skills. - Ability to work collaboratively in a team-oriented environment. - Attention to detail and willingness to take ownership of assigned tasks. -
Additional Information
- Certifications, academic projects, internships, or coursework related to data engineering, analytics, or cloud technologies are a plus. - Flexibility to coordinate with global teams when required.This role requires working from the office with a collaborative team environment. - Bachelor's or Master's degree in Computer Science, Information Technology, Data Science Engineering, Mathematics, Statistics, or a related field. - Candidate must have secured a minimum of 60% marks or an equivalent grade in the qualifying examination from a reputed university/institute in India - Candidate Should be passing out as part of the 2027 batch only
Salary link- Burns & McDonnell Trainee Salaries by 8 Employees (Updated 2025)