- EXL
- United States,
- Full-Time
- 83 days ago
Data Engineer.
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Data Engineer: our view in 3 lines...
- The Role:A data engineer role for someone who will support building and maintaining data pipelines, ETL/ELT processes, and cloud-based data workflows while learning from senior engineers.
- The Person:Support the development, testing, deployment and documentation of data pipelines and cloud data workflows while working with senior engineers and cross-functional teams.
- Requirements:Strong understanding of data engineering fundamentals, SQL, basic knowledge of cloud services (AWS/Azure/GCP), and familiarity with Python or PySpark are required.
About the 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
