Data Engineer
2 days ago
Key Responsibilities
• Manage and monitor the performance of the Modern Data Stack (MDS)
• Troubleshoot any issues or discrepancies within the data infrastructure.
• Develop and enforce robust security protocols to protect sensitive data within the MDS.
• Collaborate with relevant teams to establish and enforce data quality standards.
• Provide support and guidance in utilizing data analytics tools and interpreting data insights.
• Assist in the development of data-driven strategies and initiatives to drive business growth and innovation.
• Work closely with the Enterprise Architect and other business stakeholders to understand company data needs and requirements.
• Develop and maintain data documentation to facilitate understanding and usage of datasets.
• Troubleshoot and complete assigned incidents and service requests following agreed procedures and priority allocated.
• Ensure users remain informed about the status of requests by providing regular updates.
• Update or enhance standard operating procedures (SOPs) that are out-of-date or require more detail to ensure a high documentation standard is maintained.
• Ensure service provided to users is highly responsive, and all communications include an appropriate level of detail.
Requirement:
Excellent customer service skills and able to interact effectively with all levels of the business with varying levels of IT knowledge.
Proven experience in at least 1 of the following technologies:
o Power BI, Coalesce, FiveTran, and Snowflake.
- Demonstrated fault diagnosis, troubleshooting and problem-solving skills.
- Strong understanding of data security principles and experience implementing security measures within a data environment.
- Proficiency in SQL and scripting languages for data manipulation and automation.
- Excellent written and verbal communication skills.
- Strong interpersonal / client engagement skills.
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