Data Engineer Intern

2 weeks ago


Redmond, United States People Tech Group Inc Full time

Role: Data Intern

Location: Redmond, WA

Duration: 3 months (Based on Performance & reporting manager feedback will get convert to FTE)

Type of Internship: unpaid


Job Overview:

We are seeking a motivated and detail-oriented Data Engineering intern to join our dynamic team. This internship opportunity will provide hands-on experience in data management, ETL (Extract, Transform, Load) processes, and working with big data technologies.


Job Responsibilities:

  • Assist in designing, developing, and maintaining data pipelines and ETL processes.
  • Collaborate with data scientists and analysts to understand data requirements and implement solutions.
  • Develop and optimize database queries and data transformation workflows.
  • Explore and implement technologies for data ingestion, storage, and processing.
  • Ensure data quality and integrity through validation, testing, and troubleshooting.
  • Work with various data sources including structured, semi-structured, and unstructured data.
  • Learn and apply best practices in data engineering and data architecture.


Requirements:

  • Bachelors/master’s degree in computer science, Engineering, Data Science, or a related field (preferred).
  • Strong understanding of databases, SQL, and data modeling concepts.
  • Proficiency in at least one programming language (e.g., Python, Java, Scala) for data manipulation and scripting.
  • Familiarity with data warehousing concepts and tools.
  • Basic knowledge of big data technologies (e.g., Hadoop, Spark, Kafka) is a plus.
  • Ability to analyze complex data sets and derive meaningful insights.
  • Strong problem-solving skills and attention to detail.
  • Good communication skills and ability to work in a team environment.


Preferred Skills:

  • Experience with cloud platforms for data storage and processing (e.g., AWS, Azure, Google Cloud).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI) for reporting and analysis.
  • Understanding of machine learning concepts and algorithms.
  • Previous internship or project experience related to data engineering or analytics.

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