job description
Join PT Cycent Inovasi Kaizen as a Senior Data Engineer and play a pivotal role in designing, building, and optimizing our data infrastructure in the heart of Bali. This is a unique opportunity to work on cutting-edge data solutions while enjoying the vibrant culture and work-life balance of Indonesia’s most dynamic island.
As a Data Engineer, you will collaborate with cross-functional teams to develop scalable data pipelines, ensure data integrity, and enable data-driven decision-making. Whether you're based in Canggu, Ubud, Denpasar, or other Bali hotspots, you’ll contribute to high-impact projects that leverage big data, cloud technologies, and advanced analytics.
We offer a competitive salary (IDR 25M–40M/month), flexible hybrid/remote work options, and the chance to grow with a forward-thinking company at the intersection of technology and innovation.
Responsibility
- Design, develop, and maintain scalable data pipelines using tools like Apache Spark, Airflow, or Kafka to process large datasets efficiently.
- Build and optimize ETL/ELT workflows to transform raw data into actionable insights for business stakeholders.
- Collaborate with data scientists and analysts to implement data models, warehouses, and lakes (e.g., Snowflake, BigQuery, Redshift).
- Ensure data quality, security, and governance through validation, monitoring, and documentation best practices.
- Deploy and manage cloud-based data solutions (AWS, GCP, or Azure) with a focus on cost efficiency and performance.
- Automate data processes and integrate disparate data sources (APIs, databases, IoT) into unified systems.
- Troubleshoot pipeline failures, optimize queries, and improve system reliability for real-time and batch processing.
- Stay ahead of industry trends in big data, AI/ML, and data architecture to drive continuous improvement.
Qualifications
- 3+ years of experience as a Data Engineer or in a similar role, with a portfolio of successful data infrastructure projects.
- Proficiency in SQL, Python, or Scala for data manipulation and scripting.
- Hands-on experience with big data frameworks (Hadoop, Spark, Flink) and cloud platforms (AWS, GCP, Azure).
- Expertise in data warehousing (Snowflake, BigQuery, Redshift) and ETL tools (Airflow, Talend, Informatica).
- Strong understanding of data modeling, schema design, and dimensional modeling (Star/Snowflake schemas).
- Experience with containerization (Docker, Kubernetes) and CI/CD pipelines for data applications.
- Familiarity with NoSQL databases (MongoDB, Cassandra) and streaming technologies (Kafka, Kinesis).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical teams.