About the Role:
We are looking for an enthusiastic Campus Data Engineer who is eager to start a career in data engineering and analytics. The ideal candidate should have a strong academic background in computer science, data science, or related fields, with hands-on project or internship experience in data engineering concepts, cloud technologies, and programming.
Key Responsibilities:
· Assist in building and maintaining data pipelines for ingestion, transformation, and storage of structured and unstructured data.
· Work with big data frameworks (Hadoop, Spark, Databricks) and cloud platforms (AWS, Azure, or GCP) to process large datasets.
· Support data modeling, ETL/ELT development, and performance optimization tasks.
· Write clean, efficient Python/SQL code to manipulate and validate data.
· Collaborate with senior engineers and analysts to deliver high-quality data solutions for business needs.
· Participate in data quality checks, testing, and documentation.
· Learn and adapt to new tools and technologies in the data ecosystem.
Required Skills & Qualifications :
· Bachelor's or Master’s degree in Computer Science, Information Technology, Data Science, or related field.
· Strong knowledge of Python, SQL, and data structures.
· Familiarity with data engineering concepts such as ETL, data warehousing, and data modeling.
· Exposure to big data tools (Hadoop, Spark, Hive, Kafka) through coursework or projects.
· Basic understanding of cloud platforms (AWS, Azure, or GCP).
· Strong analytical, problem-solving, and communication skills.