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Data Support Specialist

Salary undisclosed

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The Data Support Engineer will be responsible for platform administration, operational support, small change, and release management. The role will be part of a highly qualified team, primarily based in Singapore.

The role will cover the following areas:

  • Release Management and Support activity (~60%):
  • Assist the team with Production code deployment and data platform support.
  • Act as a gatekeeper in Production following client's change management process.
  • Support production data pipelines and reports.
  • Provide detailed analysis of data issues in Production with a quick turnaround time
  • On occasion, provide support for applications in Public Holidays and in weekend releases.
  • Work closely with the L2 Squad Lead, prioritizing tasks based on L2 leads’ direction.

Experience required:

  • 3–8 years of relevant experience in a support role, with experience using JIRA or similar tools to track issues and manage them through a small team.
  • Develop high-quality data pipelines using Spark, Python, SQL, and Azure services.
  • Strong proficiency in writing complex SQL Queries, Stored Procedures etc.
  • Proficient in Python, or the ability to learn basic Python for the interview process.
  • Experience with Azure or a willingness to learn and deepen knowledge of Azure platforms.
  • Exposure to Azure Databricks, or an eagerness to gain experience working with Databricks.
  • Understanding of Big Data, MapReduce, Spark, and file formats like Parquet, Avro, and ORC.