Data Engineer

Responsibilities

• Design, build, and optimize scalable data pipelines and architectures.
• Collaborate with cross-functional teams to collect, process, and transform large data sets.
• Implement tools and processes for data quality, monitoring, and reliability.
• Maintain and enhance existing data infrastructure for performance and scalability.
• Contribute to team and organizational improvements in process and infrastructure.
• Effectively identify and resolve data-related issues before they impact business operations.
  
  

Requirements

• Previous working experience as a Data Engineer for 3+ years.
• Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, DynamoDB).
• Hands-on experience with Python and/or SQL for data processing (experience with PySpark or Scala is a plus).
• Proficient in designing, building, and maintaining ETL pipelines.
• Familiarity with cloud platforms such as AWS, GCP, or Azure for data engineering solutions.
• Good knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).
• Experience with data warehousing concepts and tools (e.g., Redshift, BigQuery, Snowflake).
• Knowledge of data modeling, data governance, and best practices in data quality.
• Strong analytical skills and problem-solving aptitude.
• Attention to detail.
• Good skills in English communication and writing.
• Willingness to work onsite in Yogyakarta.
  
  

⚠️ Note: This position requires fluency in English, as it will be the primary language used for daily communication.

If you're confident (or eager to grow) in using English at work, this position could be a great fit.

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