Opportunity brief
Responsibilities of the Intern: Assist in designing, developing, and maintaining ETL/ELT data pipelines. Collect, clean, transform, and validate structured and unstructured data. Support the development of scalable data warehouses and data lakes. Write efficient SQL queries to extract, analyze, and manipulate data. Collaborate with data analysts, software engineers, and business teams. Monitor data pipeline performance and troubleshoot data-related issues. Help automate data processing workflows using Python or similar programming languages. Ensure data quality, accuracy, consistency, and security across systems. Create documentation for data models, workflows, and technical processes. Stay updated with emerging trends in data engineering, big data, and cloud technologies. Requirements: Strong understanding of SQL and relational databases. Basic knowledge of Python, Java, or Scala. Familiarity with ETL concepts and data pipeline development. Understanding of database systems such as MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms (AWS, Azure, or Google Cloud) is a plus. Knowledge of big data technologies like Apache Spark, Hadoop, or Kafka is an advantage. Strong analytical, problem-solving, and debugging skills. Excellent communication and teamwork abilities.