Springer CapitalFound on the web

Posted 1w ago

Data Engineering Internship

Pay

Unpaid

Location

Remote, India

Remote

Type

Internship

Apply by

13 Oct

4 days left

Skills this role screens for

etl toolssqlpythonapache sparkdatabase management systems (dbms)internship

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The work

About the Role

We are seeking motivated Data Engineering Interns to join our team remotely for a 3-month internship. This role is designed for students or recent graduates interested in working with data pipelines, ETL processes, and big data tools. You will gain practical experience in building scalable data solutions. While this is an unpaid internship, interns who successfully complete the program will receive a Completion Certificate and a Letter of Recommendation.

The work

Responsibilities

  • Assist in designing and building data pipelines for structured and unstructured data.
  • Support ETL (Extract, Transform, Load) processes to prepare data for analytics.
  • Work with databases (SQL/NoSQL) for data storage and retrieval.
  • Help optimize data workflows for performance and scalability.
  • Collaborate with data scientists and analysts to ensure data quality and consistency.
  • Document workflows, schemas, and technical processes.

Who they want

Requirements

  • Strong interest in data engineering, databases, and big data systems.
  • Basic knowledge of SQL and relational database concepts.
  • Familiarity with Python, Java, or Scala for data processing.
  • Understanding of ETL concepts and data pipelines.
  • Exposure to cloud platforms (AWS, Azure, or GCP) is a plus.
  • Familiarity with big data frameworks (Hadoop, Spark, Kafka) is an advantage.
  • Good problem-solving skills and ability to work independently in a remote setup.

Springer Capital

Found on the web. You apply on the company's own site

Where this listing comes from

From a public listing board (Unstop).

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