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.