Senior Data Engineer - Cloud & Data Pipelines Specialist

NCS Philippines is seeking a highly skilled Senior Data Engineer to join our team in Badung, Bali. This role is crucial for developing and maintaining robust data pipelines and cloud-based solutions. The ideal candidate will have a strong background in data engineering, cloud technologies, and a passion for solving complex data challenges.

In this role, you will be responsible for designing, implementing, and optimizing data pipelines, ensuring data integrity, and driving data-driven decision-making. You will work closely with cross-functional teams to deliver high-quality data solutions that meet business needs.

If you are a seasoned Data Engineer with a proven track record in cloud technologies and data pipelines, we encourage you to apply. Join us and be part of a dynamic team that values innovation and excellence.

📋 Tanggung Jawab Pekerjaan

Tanggung Jawab:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement and optimize cloud-based data solutions using platforms like AWS, Google Cloud, or Azure.
• Ensure data integrity and quality through robust data validation and monitoring.
• Collaborate with data scientists, analysts, and other stakeholders to deliver data-driven insights.
• Optimize data storage and processing to improve performance and reduce costs.
• Stay updated with the latest trends and technologies in data engineering and cloud computing.
• Mentor and guide junior team members in best practices and innovative solutions.
• Participate in code reviews and ensure adherence to coding standards and best practices.

🎓 Kualifikasi & Syarat

Kualifikasi:

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering and cloud technologies.
• Proven experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Strong programming skills in languages like Python, Java, or Scala.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Knowledge of data warehousing concepts and tools like Snowflake, Redshift, or BigQuery.
• Familiarity with CI/CD pipelines and DevOps practices.
• Excellent problem-solving skills and a proactive approach to addressing challenges.

🛠️ Keahlian

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