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.

Valuable 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.

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 u0026 McDonnell India
📍 Mumbai