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Description:

• Assist in the development and optimization of data pipelines for collecting, processing, and

storing

large volumes of structured and unstructured data.

• Work with cloud platforms (e.g., AWS, GCP, Azure) to manage and scale data storage

solutions.

• Help with the integration of diverse data sources and work on ETL (Extract, Transform, Load)

processes.

• Collaborate with data scientists, analysts, and other teams to ensure the availability and

accessibility

of clean, high-quality data.

• Write and optimize SQL queries for data extraction and transformation.

• Participate in the documentation of processes and best practices for data engineering

workflows.

• Troubleshoot and resolve data-related issues to ensure smooth operations and data accuracy.

• Stay up-to-date with the latest trends and technologies in data engineering and big data.

Qualifications:

• Currently enrolled in a Bachelor's or Master’s program in Computer Science, Engineering,

Mathematics, Statistics, or a related field.

• Basic understanding of data engineering concepts such as data pipelines, ETL processes,

and cloud-

based data storage solutions.

• Proficiency in at least one programming language, such as Python, Java, or Scala.

• Familiarity with SQL and working with relational databases (e.g., MySQL, PostgreSQL).

• Exposure to big data technologies such as Hadoop, Spark, or Kafka is a plus.

• Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure is a plus.

• Strong problem-solving skills and the ability to think critically.

• Ability to work both independently and as part of a team.

Required Skills & Traits:

Expected Out

TMRW – House of Brands - SDE (Data )

Station Overview

Project 1

Title: Data Engineering Intern