Key skills
PythonSQLDatabasesNoSQLData pipelinesETLELTApache SparkAirflowCloud platformsAnalytical skillsData EngineeringAnalyticsBusiness IntelligenceSparkAWSAzureGCP
About this role
Xyborg Labs is seeking a motivated and detail-oriented Junior Data Engineer to join their growing data team. In this role, you'll help build, maintain, and optimize data pipelines and infrastructure that support data analytics and business intelligence.
Responsibilities:
- Assist in building and maintaining data pipelines (ETL/ELT processes)
- Collect, clean, and transform data from multiple sources
- Support the development and optimization of databases and data warehouses
- Monitor data workflows and troubleshoot data-related issues
- Collaborate with data analysts and other teams to ensure data availability
- Document data processes, systems, and workflows clearly
Requirements:
- Basic knowledge of programming (Python, SQL, or similar)
- Understanding of databases (SQL/NoSQL) and data structures
- Familiarity with data pipeline concepts and tools
- Strong analytical and problem-solving skills
- Attention to detail and ability to work with large datasets
- Eagerness to learn and grow in the data engineering field
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field
- Internship, academic projects, or hands-on experience with data systems
- Familiarity with tools like Apache Spark, Airflow, or cloud platforms (AWS, Azure, GCP)