Big Data Engineer Intern

About HireShire

HireShire is a forward-thinking staffing and talent acquisition platform that helps top organizations discover exceptional talent. As part of our expansion into the Data Engineering vertical, we’re inviting analytical, detail-oriented, and passionate individuals to join our Data Engineering Internship Cohort.

Role Overview

As a Big Data Engineering Intern at HireShire, you will support our data and infrastructure teams in designing, building, and maintaining scalable data pipelines. You’ll gain hands-on experience with modern data engineering tools, cloud platforms, and big data ecosystems while working in a fast-growing HR-tech environment.

Key Responsibilities

• Assist in designing, developing, and maintaining ETL pipelines for structured and unstructured data.
• Work with databases (SQL/NoSQL) to ensure data accuracy, integrity, and accessibility.
• Support integration of APIs and third-party data sources into the data ecosystem.
• Help optimize data storage, transformation, and retrieval for performance and scalability.
• Contribute to data quality checks, validation processes, and monitoring frameworks.
• Assist in developing dashboards and reports for business and product stakeholders.
• Research new tools, frameworks, and best practices in data engineering & analytics.

Requirements

• Currently pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Computer Science, Data Engineering, IT, or related fields.
• Strong understanding of databases, SQL, and data modeling concepts.
• Familiarity with Python/Java/Scala for data processing.
• Basic knowledge of data warehousing, ETL concepts, and data pipelines.
• Understanding of cloud platforms (AWS/GCP/Azure) and their data services.
• Critical thinking, attention to detail, and a proactive learning mindset.

Nice to Have (Bonus)

• Certifications such as AWS Certified Data Engineer, Google Cloud Data Engineer, or Microsoft Azure Data Fundamentals (even if in-progress).
• Experience with big data tools like Hadoop, Spark, or Kafka.
• Familiarity with data visualization tools (Tableau, Power BI, Looker).
• Hands-on experience in API integrations, streaming data, or real-time processing.
• Participation in data hackathons, Kaggle competitions, or open-source data projects.

What You’ll Get

• Real-time exposure to data engineering operations within a tech-driven product environment.
• Hands-on training in ETL, big data, and cloud-based data pipelines.
• 1:1 mentorship from experienced data professionals & access to exclusive learning resources.
• Internship Certificate & Letter of Recommendation upon successful completion.
• Opportunity for a Pre-Placement Offer (PPO) at HireShire or with our client organizations.

Hiring Process

• Online Application
• Resume + short write-up on your data engineering interests/projects.
• Data Engineering Aptitude Test
• MCQ + scenario-based assessment on SQL, data pipelines, and fundamentals.
• Technical Interview
• Live discussion around ETL design, databases, and problem-solving.
• Managerial Interview
• Assess motivation, culture fit, and communication skills.
• Offer
• Formal internships offer with stipend details & role expectations.
• Onboarding
• Access provisioning, training roadmap & project kickoff.

Stipend

Germany: Minimum €18.00/hour (in accordance with Europe internship wage guidelines), with potential increment based on interview performance and skill assessment.