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Database Engineer

Salary undisclosed

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Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes to ensure efficient data integration and processing.
  • Work with Pentaho, Kafka Debezium, and ETL tools to handle large-scale data transformations and streaming.
  • Manage and optimize relational and non-relational databases such as Postgres, Oracle, NoSQL, and GSQL.
  • Ensure data quality, consistency, and security across different data sources and platforms.
  • Collaborate with cross-functional teams, including data analysts, data scientists, and software engineers, to support business intelligence and analytics needs.
  • Monitor data pipelines and troubleshoot performance issues to ensure system reliability.
  • Implement best practices in data governance, documentation, and compliance.
  • Stay up to date with the latest data engineering technologies and methodologies.

Qualifications

  • 2–5 years of experience as a Data Engineer or in a related role.
  • Strong proficiency in Pentaho, Kafka Debezium, ETL tools, and database management (Postgres, Oracle, NoSQL/GSQL).
  • Experience in designing data architecture and workflow automation.
  • Knowledge of insurance industry data processes is a plus.
  • Excellent problem-solving skills and ability to analyze complex data structures.
  • Eagerness and willingness to learn new technologies and improve technical skills.
  • Strong communication and collaboration skills.
  • Willing to work onsite (WFO) and contribute effectively in a team environment.

Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes to ensure efficient data integration and processing.
  • Work with Pentaho, Kafka Debezium, and ETL tools to handle large-scale data transformations and streaming.
  • Manage and optimize relational and non-relational databases such as Postgres, Oracle, NoSQL, and GSQL.
  • Ensure data quality, consistency, and security across different data sources and platforms.
  • Collaborate with cross-functional teams, including data analysts, data scientists, and software engineers, to support business intelligence and analytics needs.
  • Monitor data pipelines and troubleshoot performance issues to ensure system reliability.
  • Implement best practices in data governance, documentation, and compliance.
  • Stay up to date with the latest data engineering technologies and methodologies.

Qualifications

  • 2–5 years of experience as a Data Engineer or in a related role.
  • Strong proficiency in Pentaho, Kafka Debezium, ETL tools, and database management (Postgres, Oracle, NoSQL/GSQL).
  • Experience in designing data architecture and workflow automation.
  • Knowledge of insurance industry data processes is a plus.
  • Excellent problem-solving skills and ability to analyze complex data structures.
  • Eagerness and willingness to learn new technologies and improve technical skills.
  • Strong communication and collaboration skills.
  • Willing to work onsite (WFO) and contribute effectively in a team environment.