Data Engineer - Skyshi Digital Indonesia

Join Skyshi Digital Indonesia as a Data Engineer and play a pivotal role in designing, building, and maintaining scalable data pipelines that drive business insights. Based in Yogyakarta, you will collaborate with cross-functional teams to transform complex data into actionable intelligence. Our company, known for its innovative approach in the digital payment sector, is committed to creating a robust data infrastructure that fuels our growth and success.

As a Data Engineer at Skyshi Digital Indonesia, you will be responsible for developing and optimizing data pipelines that handle large volumes of data. You will work closely with data scientists, analysts, and other stakeholders to ensure that our data systems are efficient, reliable, and scalable. This role offers a unique opportunity to work in a dynamic environment where your expertise will directly impact our business strategy and operations.

📋 Tanggung Jawab Pekerjaan

• Design, build, and maintain scalable data pipelines using tools like Apache Airflow, Apache Kafka, and Spark.
• Develop and optimize ETL (Extract, Transform, Load) processes to ensure data quality and integrity.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Monitor and troubleshoot data pipelines to ensure high availability and performance.
• Implement data security and compliance measures to protect sensitive information.
• Stay updated with the latest technologies and industry trends to continuously improve our data infrastructure.
• Mentor and guide junior team members to foster a culture of continuous learning and development.
• Participate in code reviews and provide constructive feedback to ensure best practices are followed.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 3-5 years of experience in data engineering, with a strong background in Python and SQL.
• Hands-on experience with big data technologies such as Hadoop, Hive, and Impala.
• Proficiency in cloud platforms like AWS or Google Cloud.
• Certifications in data engineering or related fields are a plus.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced, agile environment.

🛠️ Keahlian

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