Job Description :

- 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).


Job Requirements :

- 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

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