Trainee CSE/IT/Data Science/Mathematics/Statistics - 2027 Batch Campus Recruitment (CDB - Const[...]

Burns & McDonnell India; Mumbai; On-site; INR 600,000 - 800,000; Full time

Job summary

Burns & McDonnell India is seeking fresh graduates in data engineering to join a Mumbai-based team focused on building and maintaining data pipelines. You will learn APIs, databases, cloud data systems, and data preparation for analytics and reporting.

Ideal candidates have a degree in CS/IT/Data Science/Math, strong SQL and Python basics, and a willingness to work in the second shift to coordinate with global teams. This is an office role with flexible WFH arrangements.

Qualifications

• Bachelor’s or Master’s degree required in CS/IT/Data Science/Math/Statistics or related field.
• Minimum 60% marks or equivalent; batch 2027 only.
• Willingness to work in the 2nd shift (12:30 PM–9:00 PM) to coordinate with US/Global teams.
• Role requires office presence with up to 48 WFH days per year.

Responsibilities

• Assist in integrating and maintaining data from multiple business systems and sources.
• Support the development and monitoring of data pipelines under 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.
• Write and optimize basic SQL queries and scripts for data extraction and analysis.
• Collaborate with senior team members to understand data pipeline orchestration and workflows.
• Learn software development best practices including version control, testing, and change management.
• Participate in internal learning programs, technical training, and knowledge-sharing sessions.
• Follow data privacy, security, and governance standards.

Skills

Analytical mindset

Communication skills

Team collaboration

Willingness to learn

Python

SQL

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science Engineering, Mathematics, Statistics, or a related field.

Tools

SQL

Python

Job description

• 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.
• 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.

Description

• 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.
• 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.

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