- Design, build, and maintain scalable data pipelines to support AI models and analytics.
- Work closely with AI engineers to ensure the availability of clean, structured data for model training and inference.
- Develop and manage ETL processes to extract, transform, and load data from various sources.
- Optimize data storage solutions for performance and cost efficiency.
- Ensure data integrity, security, and compliance with relevant regulations (e.g., GDPR, CCPA).
- Proficiency in data engineering languages and tools (e.g., SQL, Python, Apache Spark, Kafka).
- Experience with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Data Lake).
- Strong understanding of database systems, both relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).
- Experience with data modeling, data warehousing, and data lake architectures.
- Familiarity with big data processing frameworks (e.g., Hadoop, Hive) and orchestration tools (e.g., Airflow).
- Knowledge of data governance practices and tools (e.g., Apache Atlas, AWS Glue).
- Able to work onsite Jakarta
Vision, Mission, & Value
Management Team
Process & Deliverable
Business Optimization
Web/Mobile App Development
Data Analytics
Managed Services
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