job description
Are you a passionate Data Engineer looking to make a significant impact in a dynamic and innovative environment? NCS Philippines is seeking a talented Mid/Senior Level Data Engineer to join our team in beautiful Bali. In this role, you will be instrumental in designing, building, and optimizing data pipelines that drive critical business decisions and enhance our data infrastructure.
As a Data Engineer, you will collaborate with cross-functional teams to develop scalable data solutions, ensuring data accuracy, accessibility, and security. You will work with cutting-edge technologies and tools to transform raw data into meaningful insights, empowering our organization to make data-driven decisions. This is an exciting opportunity to grow your career in a supportive and forward-thinking company.
If you are a problem-solver with a keen eye for detail and a passion for data, we would love to hear from you. Join us and be part of a team that values innovation, collaboration, and excellence.
Responsibility
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
- Optimize and improve existing data infrastructure for performance, reliability, and scalability.
- Ensure data accuracy, consistency, and integrity across various data sources.
- Implement data governance and security policies to protect sensitive information.
- Monitor and troubleshoot data pipeline issues, ensuring minimal downtime and maximum efficiency.
- Stay up-to-date with emerging trends and technologies in data engineering and recommend best practices.
- Document data processes, workflows, and architectures for future reference and team collaboration.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer, with a strong background in data pipeline development and ETL processes.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong understanding of database systems, SQL, and data modeling.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.