- 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.
- 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.
- 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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Data Intern - Redmond, United States - People Tech Group Inc
Description
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:
Requirements:
Preferred Skills:
