Data Engineering Intern-2

Tvh India Private Ltd; Pune District; On-site; INR 167,000 - 279,000; Full time

Job summary

TVH is seeking a Data Engineer Intern to join our global team. You will assist in building data pipelines, transforming data and learning data platform projects under senior engineers.

You’ll gain exposure to GCP, BigQuery, Kafka and API-based data exchange while supporting end-to-end data delivery and integration tasks in a collaborative environment.

Qualifications

• Currently enrolled in a Bachelor’s or Master’s degree in a technical field.
• Strong foundation in Python and SQL with data modeling basics.
• Familiarity with data ingestion, APIs and cloud concepts.

Responsibilities

• Translate requirements into technical implementation with mentors.
• Assist in data transformation and end-to-end data delivery tasks.
• Learn to build data pipelines using cloud tech (GCP/BigQuery/Kafka).
• Support data platform initiatives and API-based integrations.
• Collaborate in a globally distributed, team-oriented environment.

Skills

Python

SQL

Relational databases

Data ingestion

Cloud basics

APIs

Education

Bachelors or Masters in CS/Data Eng

Tools

Git

Postman

Job description

TVH is seeking a Data Engineer Intern to join our global team. The team specializes in building and maintaining data pipelines, data Integration and Data Platform consolidating and provisioning data from various sources across our different markets and industries, access management and creation of unified schemas and modular architecture.As a Data Engineer Intern, you will work alongside experienced engineers to learn and contribute to data modelling , data ingestion and data platform projects. You will support designing and implementing scalable solutions that fit the needs of our stakeholders and tools. This data is key for our internal teams to have efficient and effective support towards our customers and also toYour role and responsibilitiesTranslating requirements into technical implementation: Assist senior team members in gathering requirements and identifying data points from structured and unstructured sources to help design fit-for-use data products.Data Transformation & Delivery Support: Support the end-to-end data delivery process for data extraction and transformation under mentor guidance.Data Pipeline Engineering: Learn and assist in building data integration and data transformation pipelines using technologies like GCP, BigQuery, and Kafka, Boomi under the supervision of senior engineers.Data Platform: Learn and assist in building Data Platform and AI Platforms in Cloud environmentsData Integration: Learn the fundamentals of REST APIs, HTTP methods, JSON and XML data formats, authentication, and API-based communication. Assist in developing and testing integrations that enable reliable data exchange between applications and services.Energised team player: You will be joining a globally-spread team that envies team spirit, co-creation and collaboration.How to succeed/Your profile:Must haveCurrently pursuing degree in Computer Science, Data Engineering, or a related fieldFoundational Technical Skills:Solid foundation in Python and SQL-Basic understanding of relational databases and data modeling conceptBasic knowledge of Data ingestionBasic knowledge on Cloud and Data Ingestion and Data TransformationBasic understanding of application integration concepts and data exchange between systems.Foundational knowledge of APIs, particularly REST APIs, and data formats such as JSON and XML.Basic understanding of data engineering concepts, data transformation, and pipelines.Strong analytical mind and you get energized by resolving complex data problemsA good eye for detail and a commitment to deliver high data quality and accuracyFluent communication (speaking and writing) in English..Nice to haveExposure to Cloud Platforms , Git , Data Ingestion , TransformationFamiliarity with Git or version control systemsKnowledge about DevOps methodologiesBasic knowledge of API testing tools such as Postman.Exposure to integration patterns, API gateways, authentication mechanisms, and application connectivity.Affinity with equipment parts and service industryFamiliar with project development methodologies such as Scrum (Agile).Educational Background & QualificationsRequired Education:Currently enrolled in or recent graduate of a Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Data Science, Software Engineering, or a related technical fieldSpecialized Coursework: Strong academic foundation in Data Engineering, Distributed Systems, Database Management Systems (DBMS), Algorithm Design, and Real-time Computing.