job description
Join Randstad as a Mid-Level Data Engineer and work with a leading software solutions provider. This role offers the unique opportunity to work remotely from Bali while contributing to cutting-edge data infrastructure projects. You'll collaborate with cross-functional teams to design, build, and optimize scalable data pipelines, ensuring high-quality data delivery for analytics and business intelligence.
Our client is at the forefront of software innovation, leveraging data to drive decision-making and enhance customer experiences. As a Data Engineer, you'll play a pivotal role in shaping data architecture, implementing ETL processes, and maintaining data integrity. Enjoy a competitive salary, flexible work arrangements, and a dynamic team environment.
If you're passionate about data engineering and eager to grow your career in a global setting, apply now!
Responsibility
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Collaborate with data scientists and analysts to optimize data delivery and analytics.
- Ensure data accuracy, consistency, and reliability across systems.
- Implement and monitor data quality checks and performance tuning.
- Work with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies.
- Automate data workflows and improve efficiency through scripting and tooling.
- Document data architecture, processes, and best practices.
- Troubleshoot and resolve data-related issues in a timely manner.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in data engineering or a similar role.
- Proficiency in SQL, Python, and data processing frameworks (e.g., Spark, Hadoop).
- Experience with cloud platforms (AWS, GCP, Azure) and data warehousing solutions.
- Strong understanding of data modeling, ETL processes, and database design.
- Familiarity with CI/CD pipelines and version control (e.g., Git).
- Excellent problem-solving and analytical skills.
- Ability to work independently and collaboratively in a remote setting.