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 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