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 recent 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.

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
📍 Mumbai