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• AWS
• Spark
• Snowflake

• Python
• SAPS4

• Senior level Data and Analytics Architect with a consultative aptitude
• Sharp and crisp communicator
• Experience and expertise identifying and isolating areas of improvement, and making recommendations to improve analytical ecosystems
• Strong understanding of source data set variety, orchestrating data transfers, plumbing data pipelines, affecting data transformations, optimizing semantic layers and of reporting utilities
• Strong understanding of batched and streamed data of high variety and medium 

Minimum years of experience: >10 years

Certifications Needed: No

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

1. Consultatively engage with Business, IT Functional stakeholders at the mid management level to understand their techno functional needs, ambitions and goals
2. Conduct deep analysis of existing analytical ecosystems to isolate areas presenting scope for efficiency gains Data Sources all the way through to Reporting
3. Conceptualize if necessary innovate and design improved systems structured meet key stakeholder goals, and sell the ideas to the key stakeholders

Interview Process (Is face to face required?): No

Does this position require Visa independent candidates only? No