DataOps Engineer

PRIMARY PURPOSE:
• Use your Python and SQL skills to assist in data analysis and solve complex data transformation problems.
• Work closely with our specialist financial analytics team and data teams to engineer solutions that deliver effective and scalable data transformation results
• Can competently perform a data related project by themselves including reviewing data quality and provide feedback with some supervision and guidance
• Review & check data related work from peers and less experienced team members
RESPONSIBILITIES:
• Independently perform a variety of data tasks using various tools including Excel, SQL, Python, Azure, Snowflake, Databricks and Power Automate
• Maintain and update dashboards or checklists to ensure data is organised, complete, accurate and of high quality
• Build or develop new schema script repositories for analysis schema generation
• Assist team members to improve data quality and efficiency
• Automate manual & repetitive processes
• Discuss any issues by emails or IM with the overseas project teams and customers located in Australia, New Zealand, etc.
• Additional processing, transformation, and validation of data may also be required to assist with the analysis, recovery, and resolution of the errors
• Track task progress and provide timely updates during sprints
• In addition to the details listed above and below, you may be required to perform additional duties that are considered within your role and skill level