Senior yst

This is a remote position.

• Collaborate with the data engineering team to design develop and support highquality data analytics and reporting solutions.
  
• Build and maintain robust data architectures.
  
• Design and create databases tables and queries based on business needs.
  
• Ensure data quality and integrity.
  
• Create copy and clone tables from different DBMS into SQL Server.
  
• Utilize expertise in SQL Server Virtual Machine concepts and architecture.
  
• Maintain production reliability ensuring performance uptime and recoverability.
  
• Conduct performance tuning as needed and develop expertise in the scope of data used by the entire Retail Operations team.
  
• Support data access and security.
  
• Integrate data views with BI tools such as Tableau and Power BI.
  

Requirements

• Bachelor s degree in Computer Science Information Systems Engineering or a related discipline preferred.
  
• 4 years of relevant data management experience in consulting or industry (e.g. master data metadata data architecture data governance data quality data modeling data standards).
  
• Expertlevel skills in SQL Server architecture.
  
• Advanced Python skills including Pandas data wrangling and loading.
  
• Detailed understanding of data governance and data profiling concepts.
  
• Experience working in Agile development environments.
  
• Experience with cloudbased data platforms such as Google Analytics and Snowflake and building Airflow pipelines is a plus.
  

Benefits

• Work Location: Remote
  
• 5 days working