Data Engineer

6 days ago

Jakarta, Jakarta, Indonesia PT Mandiri International Technology Full time 15,000,000 - 25,000,000 per year

Job Description

  • Design, build, and maintain scalable data pipelines to support data integration, transformation, and analysis across multiple systems.
  • Develop and manage ETL (Extract, Transform, Load) processes to ensure data accuracy, consistency, and availability for business intelligence and analytics.
  • Work closely with cross-functional teams, including Data Analysts, Software Engineers, and Business Units, to understand data requirements and deliver reliable data solutions.
  • Optimize database performance and ensure data quality, governance, and security standards are met.
  • Create and maintain technical documentation, including data flow diagrams, architecture design, and process descriptions.
  • Support continuous improvement by implementing automation and adopting new data technologies or best practices.
  • For higher-level roles: provide technical leadership, mentor junior team members, and contribute to strategic planning of data architecture and analytics initiatives

Minimum Qualifications

  • Minimum education: Diploma (D3) in any major, preferably in Information Technology, Computer Science, or related field.
  • Experience in data engineering or software development aligned with the position level (Junior, Middle, or Senior).
  • Proficiency in at least one programming language such as SQL, Java, Python, or PHP.
  • Hands-on experience with ETL tools and data processing technologies such as ODI, Datastage, Talend, or Pentaho.
  • Strong knowledge of relational and non-relational databases, including Oracle, MySQL, PostgreSQL, MS SQL, DB2, BigQuery, or Big Data ecosystems.
  • Familiarity with data warehouse concepts, data modeling, and API/Web Service (SOAP/REST) integration.
  • Understanding of ISO 8583 and financial/banking data flow is a strong advantage.
  • Experience working in an Agile development environment and familiarity with Software Development Life Cycle (SDLC) best practices.
  • Strong analytical and problem-solving skills with the ability to translate business requirements into technical data solutions.
  • For senior levels: proven experience in leading data engineering initiatives, architecture design, and mentoring team members.
  • Experience or interest in AI/Gen AI or data automation tools is a plus.

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