Logo of Huzzle

Home

Matches

Explore

Manage

Data Engineering Intern, Data Science and Tools

image

Samsung

27d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • Plano
  • Quick Apply

AI generated summary

  • You should be pursuing a Master's in a relevant field, have coding skills in Python/SQL/Scala, database knowledge, and some exposure to big data/cloud tools. Strong analytical and team skills are essential.
  • You will design ETL pipelines, process structured and unstructured data, optimize database performance, implement data quality checks, and maintain cloud data infrastructure while documenting processes.

Requirements

  • Currently pursuing or recently completed a Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
  • Prior experience with data engineering projects, coursework, or internships in telecom or related industries is a plus.
  • Programming: Proficiency in Python, SQL, or Scala.
  • Databases: Familiarity with relational databases (PostgreSQL, MySQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
  • Big Data Tools: Exposure to Hadoop, Spark, or Kafka is a plus.
  • Cloud Platforms: Understanding of cloud services like AWS (S3, Redshift, Glue), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).
  • ETL Tools: Experience with ETL frameworks like Apache Airflow, Talend, or Informatica is beneficial.
  • Version Control: Basic knowledge of Git/GitHub for collaboration.
  • Strong analytical and problem-solving abilities.
  • Eagerness to learn new technologies and adapt quickly.
  • Ability to work independently and in a team environment.
  • Good communication skills to collaborate with cross-functional teams.
  • Attention to detail and a proactive mindset.

Responsibilities

  • Assist in designing and building scalable ETL (Extract, Transform, Load) pipelines to process telecom data efficiently.
  • Work with structured and unstructured data from multiple sources, including network usage, customer interactions, and operational logs.
  • Support the integration of real-time and batch data processing systems.
  • Help optimize database performance and storage solutions for telecom-related datasets.
  • Collaborate with data analysts and scientists to provide clean, processed data for analytics and reporting.
  • Implement data quality checks, validation rules, and error-handling mechanisms to ensure accuracy and consistency.
  • Assist in maintaining cloud-based data infrastructure (AWS, Azure, or GCP) or on-premises data warehouses.
  • Document workflows, best practices, and technical processes for future reference.

FAQs

What is the main focus of the Data Engineering Intern role?

The main focus of the Data Engineering Intern role is to design, develop, and maintain data pipelines that support business intelligence, analytics, and machine learning initiatives within the Data Science and Tools team.

What type of data will the intern work with?

The intern will work with both structured and unstructured data from various sources, including telecom data such as network usage, customer interactions, and operational logs.

What programming languages are preferred for this internship?

Proficiency in Python, SQL, or Scala is preferred for this internship.

Is any prior experience required for this position?

While prior experience in data engineering projects, coursework, or internships in telecom or related industries is a plus, it is not necessarily required.

What cloud platforms should the intern be familiar with?

The intern should have an understanding of cloud services like AWS, Azure, or Google Cloud Platform (GCP).

Will the intern have opportunities to collaborate with other teams?

Yes, the intern will collaborate with data engineers, analysts, and stakeholders across various functions to ensure efficient data processing.

Are there any specific ETL tools mentioned in the job description?

Yes, experience with ETL frameworks like Apache Airflow, Talend, or Informatica is beneficial for this position.

What educational background is required for this internship?

Candidates should be currently pursuing or have recently completed a Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.

What qualities are important for a candidate applying for this role?

Important qualities include strong analytical and problem-solving abilities, eagerness to learn new technologies, and good communication skills for collaboration.

Is there any commitment to diversity and inclusion at Samsung?

Yes, Samsung is committed to fostering an inclusive culture and a diverse workforce, ensuring equal opportunities for all individuals.

image

Samsung

Technology
Industry
10,001+
Employees
1969
Founded Year

Mission & Purpose

Samsung is a multinational conglomerate with operations spanning various industries, including electronics, technology, and manufacturing. Their ultimate mission is to "Inspire the World, Create the Future" by developing innovative products and services that enhance people's lives and contribute to the advancement of society. Samsung's purpose is to provide cutting-edge technologies and solutions, from smartphones and televisions to home appliances and semiconductor manufacturing, to make people's lives more convenient, connected, and efficient in the UK and around the globe

Culture & Values

  • People

    Quite simply, a company is its people. At Samsung, we’re dedicated to giving our people a wealth of opportunities to reach their full potential.

  • Excellence

    Everything we do at Samsung is driven by an unyielding passion for excellence and an unfaltering commitment to develop the best products and services on the market

  • Change

    As we have done since our foundation, we set our sights on the future, anticipating market needs and demands so we can steer our company toward long-term success.

  • Integrity

    Operating in an ethical way is the foundation of our business. Everything we do is guided by a moral compass that ensures fairness, respect for all stakeholders and complete transparency.

  • Co-prosperity

    Samsung is committed to becoming a socially and environmentally responsible corporate citizen in all of its communities worldwide