Trainee CSE/IT/Data Science/Mathematics/Statistics - 2027 Batch Campus Recruitment (CDB - Construction Technology)
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Burns & McDonnell Trainee CSE/IT/Data Science/Mathematics/Statistics - 2027 Batch Campus Recruitment (CDB - Construction Technology)
- 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.
- 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.