Qode

Compensation

Full Description

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.