Data Engineering Internship (Remote)
About this role
Data Engineering Internship (Remote)
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Springer Capital
India
0.36 - 0.42 lacs/annum
Contract
Full time
REMOTE
CLOSING SOON
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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
.
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.
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.
What You’ll Gain
Hands-on experience in
data engineering and ETL pipelines
.
Exposure to
real-world data workflows
.
Mentorship and guidance from experienced engineers.
Completion Certificate upon successful completion.
Letter of Recommendation based on performance.
Internship Details
Duration: 3 months
Location: Remote (Work from Home)
Stipend: Unpaid
Perks: Completion Certificate + Letter of Recommendation
Skills:- SQL
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