Data Engineer

Responsibilities
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

Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.