**Description** + 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 cooperative team environment. **Qualifications** + 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 + Ready to work permanently in the 2nd shift (12:30 pm to 9:00 PM) to get 3-4 hours to coordinate with US Office. + This role demands work from the office. However, 48 WFH days given in a year. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. **Job** Engineering **Primary Location** India-Maharashtra-Mumbai **Schedule:** Full-time **Travel:** No **Req ID:** 263212 **Job Hire Type** Experienced Not Applicable #BMI N/A

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