Intern

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Early Applicant

Job Description

Description

Key Responsibilities

Assist in building and maintaining ETL/ELT pipelines for structured and unstructured data.
Support data ingestion from APIs, databases, and flat files into data warehouses/lakes.
Write and optimize SQL queries for data transformation and validation.
Help monitor pipeline performance, troubleshoot failures, and improve data quality.
Contribute to data modeling and documentation of datasets, workflows, and standards.
Collaborate with analysts, data scientists, and software engineers on business data needs.
Participate in code reviews, testing, and deployment activities.

Required Qualifications

Currently pursuing or recently completed a degree in Computer Science, Data Science, Information Systems, or related field.
Basic knowledge of SQL and at least one programming language (Python preferred).
Understanding of databases and data warehousing concepts.
Familiarity with version control tools (Git).
Strong problem-solving and communication skills.

Preferred Qualifications

Exposure to cloud platforms (AWS/Azure/GCP).
Familiarity with data tools such as Airflow, dbt, Spark, or Kafka (academic/project level acceptable).
Understanding of data governance, quality checks, and basic security concepts.
Prior internship or project experience in data engineering/analytics.

What the Intern Will Learn