About this role
Key Responsibilities
Data Engineering Support
• Assist in building and maintaining data pipelines, ETL/ELT processes, and cloud-based data workflows. • Work closely with senior engineers to understand solution design, data architectures, and coding best practices. • Participate in development, testing, and deployment activities under guidance.
Collaboration & Communication
• Work with cross-functional teams to gather requirements and understand business needs. • Communicate progress, challenges, and technical concepts clearly to team members. • Support documentation of data processes, workflows, and technical specifications.
Learning & Continuous Improvement
• Continuously enhance technical skills in cloud technologies, SQL, and programming. • Adopt best practices in coding, testing, and version control. • Contribute ideas for improving processes and overall solution quality.
Must-Have Skills
• Strong understanding of data engineering fundamentals, SQL, and data processing concepts. • Basic knowledge of cloud services (AWS/Azure/GCP) and data tools. • Familiarity with Python or PySpark for data manipulation. • Solid problem-solving and analytical abilities. • Eagerness to learn new technologies and work in an Agile environment.
Good communication and teamwork skills
Key Responsibilities
Data Engineering Support
• Assist in building and maintaining data pipelines, ETL/ELT processes, and cloud-based data workflows. • Work closely with senior engineers to understand solution design, data architectures, and coding best practices. • Participate in development, testing, and deployment activities under guidance.
Collaboration & Communication
• Work with cross-functional teams to gather requirements and understand business needs. • Communicate progress, challenges, and technical concepts clearly to team members. • Support documentation of data processes, workflows, and technical specifications.
Learning & Continuous Improvement
• Continuously enhance technical skills in cloud technologies, SQL, and programming. • Adopt best practices in coding, testing, and version control. • Contribute ideas for improving processes and overall solution quality.
Must-Have Skills
• Strong understanding of data engineering fundamentals, SQL, and data processing concepts. • Basic knowledge of cloud services (AWS/Azure/GCP) and data tools. • Familiarity with Python or PySpark for data manipulation. • Solid problem-solving and analytical abilities. • Eagerness to learn new technologies and work in an Agile environment.
Good communication and teamwork skills
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.