Data Engineering Lead - Build Scalable Data Solutions in Bali

Join AIA as a Data Engineering Lead and drive the future of data-driven decision-making in one of Asia’s most dynamic financial services organizations. Based in the vibrant heart of Bali, you’ll lead a high-performing team to design, build, and optimize scalable data solutions. This is your chance to shape the data infrastructure that powers AIA’s growth and innovation, all while enjoying Bali’s unique culture and lifestyle.

In this role, you’ll work closely with cross-functional teams to understand business needs and translate them into robust data architectures. You’ll leverage cutting-edge tools like Apache Spark, Kafka, and Snowflake to build high-performance data pipelines. Your daily tasks will include mentoring junior engineers, conducting code reviews, and ensuring data quality and security. With AIA’s commitment to sustainability and digital transformation, you’ll have the opportunity to work on impactful projects that align with global ESG initiatives.

📋 Tanggung Jawab Pekerjaan

• Lead a team of data engineers to design, build, and maintain scalable data solutions.
• Develop and implement data pipelines using tools like Apache Spark, Kafka, and Snowflake.
• Collaborate with business stakeholders to understand requirements and translate them into technical specifications.
• Ensure data quality, security, and compliance with industry standards.
• Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.
• Conduct code reviews and provide constructive feedback to maintain high code quality.
• Optimize data infrastructure to improve performance and reduce costs.
• Stay updated with the latest industry trends and emerging technologies to drive innovation.

🎓 Kualifikasi & Syarat

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 8+ years of experience in data engineering, with a proven track record of leading successful projects.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with big data technologies like Hadoop, Spark, and Kafka.
• Certifications in data engineering or related fields are a plus.
• Experience with cloud platforms like AWS, GCP, or Azure is a significant advantage.
• Excellent communication and leadership skills, with the ability to mentor and guide a team.
• Strong problem-solving skills and a passion for data-driven decision-making.

🛠️ Keahlian

Lowongan Terkait