Data Engineer
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.