DescriptionnnData Integration u0026 SupportnAssist in integrating and maintaining data from multiple business systems and sources.nSupport the development and monitoring of data pipelines under the guidance of senior engineers.nLearn and work with APIs, databases, file-based integrations, and cloud-based data systems.nHelp validate, clean, and organize structured and unstructured data for analytics and reporting purposes.nParticipate in troubleshooting and resolving basic data-related issues.nData Transformation u0026 Analytics SupportnSupport data transformation and preparation activities for reporting and analytics.nWrite and optimize basic SQL queries and scripts for data extraction and analysis.nAssist teams in understanding business requirements and translating them into data-related tasks.nGain exposure to enterprise analytics, automation, and contemporary data engineering practices.nLearn concepts related to machine learning, AI integration, and advanced analytics platforms.nPipeline u0026 Platform LearningnCollaborate with senior team members to understand data pipeline orchestration and workflow management.nAssist in maintaining documentation for data processes, workflows, and technical activities.nLearn software development best practices including version control, testing, and change management.nParticipate in internal learning programs, technical training, and knowledge-sharing sessions.Collaboration u0026 Continuous ImprovementnWork closely with developers, analysts, QA teams, and business stakeholders in a collaborative environment.nSupport continuous improvement initiatives for data quality, efficiency, and reporting processes.nFollow organizational standards related to data privacy, security, and governance.nDemonstrate curiosity and proactive learning toward emerging technologies and enterprise platforms.nBasic understanding of data engineering, databases,



and ETL concepts.nFoundational knowledge of SQL and relational databases.nBasic understanding of programming concepts using languages such as Python, Java, or similar technologies.nAcademic exposure to cloud platforms, distributed systems, analytics tools, or enterprise data platforms is a plus.nFamiliarity with data visualization, APIs, or automation concepts is beneficial.nInterest in learning modern enterprise platforms, cloud ecosystems, and data engineering technologies.nSoft SkillsnStrong analytical and problem-solving mindset.nEagerness to learn and adapt to new technologies and business environments.nGood verbal and written communication skills.nAbility to work collaboratively in a team-oriented environment.nAttention to detail and willingness to take ownership of assigned tasks.nAdditional InformationnCertifications, academic projects, internships, or coursework related to data engineering, analytics, or cloud technologies are a plus.nFlexibility to coordinate with global teams when required.This role requires working from the office with a collaborative team environment.nnQualificationsnnBachelors or Masters degree in Computer Science, Information Technology, Data Science Engineering, Mathematics, Statistics, or a related field.nCandidate must have secured a minimum of 60% marks or an equivalent grade in the qualifying examination from a reputed university/institute in IndianCandidate Should be passing out as part of the 2027 batch onlynReady to work permanently in the 2nd shift (12:30 pm to 9:00 PM) to get 3-4 hours to coordinate with US Office.nThis role demands work from the office. However, 48 WFH days given in a year.nnThis job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.nJobnEngineeringnPrimary LocationnIndia-Maharashtra-MumbainSchedule:nFull-timennnTravel:nNonReq ID:n263212nJob Hire TypenExperienced Not Applicable #BMI N/A .

📌 Trainee CSE/IT/Data Science/Mathematics/Statistics - 2027 Batch Campus (India)
🏢 Burns u0026 McDonnell India
📍 India