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Poshmark
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Software Engineer Intern

Software Engineer Intern

Poshmark

2 - 7 years

0 Lacs

chennai

Posted:14 hours ago| Platform:

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Skills Required

data science intern spark data structures big data troubleshooting ruby monitoring sql python

Work Mode

Work from Office

Job Type

Internship

Job Description

The Big Data team at Poshmark plays a central role in enabling data-driven decision making

across the organization. Our mission is to build a world-class data platform that democratizes

data and powers key business and ML initiatives.

We are looking for a passionate Data Engineering Intern who is eager to learn and support the

development of scalable, real-time and batch data pipelines. As an intern, you will work closely

with senior engineers and contribute to building reliable data systems used across Analytics,

Data Science, and Engineering teams.

What You ll Work On

Assist in designing and developing data pipelines for real-time and batch processing.
Support integration of external data sources (e.g., APIs, S3 transfers, Kafka streams).
Contribute to building ETLs using technologies like Spark, Airflow, Databricks, and AWS services.
Help maintain Hive and Redshift tables, data workflows, and internal dashboards.
Write clean, modular code in Python, Scala, or Ruby.
Collaborate with cross-functional teams to understand data requirements.
Gain experience working with large-scale datasets (terabytes to petabytes).
Assist in monitoring and troubleshooting data pipeline issues.

What We re Looking For

Currently pursuing a Bachelor s in Computer Science, Engineering, Data Science, or a
related field.
Strong understanding of programming fundamentals (Python/Scala preferred), Computer fundamentals(Data structures, Algorithms)
Basic knowledge of SQL and working with databases.
Familiarity (even academic exposure) with Big Data concepts Spark, Hadoop, Kafka, cloud services, etc.
Interest in building scalable data systems and solving data problems.
Good problem-solving skills and attention to detail.
Willingness to learn, ask questions, and work in a collaborative environment.

Bonus Skills (Nice to Have)

Experience with Google Apps Script, Databricks, or API integrations.
Exposure to AWS technologies like S3, EMR, Lambda.
Coursework/projects involving Big Data tools (Spark, Hadoop, Kafka).

What You ll Gain

Hands-on experience with cutting-edge Big Data technologies.
Mentorship from experienced Data Engineers.
Opportunity to work on real business-critical data systems.
Insight into how large-scale data organizations operate.

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