job description
Are you a visionary Data Engineer ready to architect the future of data infrastructure in one of the world’s most dynamic tech hubs? Join our innovative team in Bali and lead the transformation of our organization’s data ecosystem into a highly automated, resilient, and scalable powerhouse.
In this pivotal role, you’ll design, implement, and optimize cutting-edge data pipelines, warehouses, and ETL processes that empower data-driven decision-making across the enterprise. You’ll collaborate with cross-functional teams to ensure seamless data flow, integrity, and accessibility while driving automation to eliminate manual processes. This is your chance to shape the backbone of our data strategy in a fast-paced, forward-thinking environment.
Why Bali? Beyond the technical challenge, you’ll work in a vibrant, inspiring setting that blends professional excellence with an unmatched quality of life. Whether you’re optimizing real-time analytics or mentoring junior engineers, your work will have a direct impact on our growth and innovation.
Responsibility
- Architect and evolve scalable, fault-tolerant data infrastructure to support petabyte-scale datasets and real-time processing.
- Design, build, and maintain high-performance ETL/ELT pipelines using modern tools (e.g., Apache Spark, Airflow, dbt).
- Optimize data warehouses (e.g., Snowflake, BigQuery, Redshift) for cost-efficiency, query performance, and reliability.
- Implement automated data quality checks, monitoring, and alerting to ensure data accuracy and consistency.
- Collaborate with Data Scientists, Analysts, and Product Teams to enable self-service analytics and BI solutions.
- Lead data governance initiatives, including metadata management, lineage tracking, and access controls.
- Mentor junior engineers and drive best practices in coding, testing, and documentation.
- Stay ahead of industry trends in big data, cloud technologies, and AI/ML integration to future-proof our infrastructure.
Qualifications
- 5+ years of experience as a Data Engineer, with at least 2 years in a leadership or senior role.
- Expertise in distributed systems (Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, or Azure).
- Proficiency in SQL, Python, or Scala for data processing and scripting.
- Hands-on experience with data warehousing solutions (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, Dagster).
- Strong understanding of data modeling, schema design, and dimensional modeling.
- Experience with CI/CD pipelines, infrastructure-as-code (Terraform), and containerization (Docker/Kubernetes).
- Proven ability to optimize complex queries and troubleshoot performance bottlenecks.
- Excellent communication and stakeholder management skills to align technical solutions with business goals.