ProgrammerAnalyst (AWS)

You will be part of Enterprise Data & Analytics team responsible for identifying analytical needs exploring new technologies and applying data sciences/machine learning concepts to maximize value from data assets. Data Engineer will work closely with key stakeholders both IT and Business to turn data into critical information and knowledge that can be used to make sound business decisions. The individual must have an in-depth understanding of the business environment an interest in going beyond the obvious aptitude for new tools/technologies and obsession for customer success

• Must possess strong subject matter expertise in at least two domains of Sales Marketing Install Base Finance and Customer Support areas.
• Demonstrated ability to have completed multiple complex technical projects
• Data modelling experience in Enterprise Data Warehouse DataMart and ETL tools like IICS Snowflake(Snowtasks)
• Hands-on experience in SQL SSL RESTful APIs and other related standards.
• Hands-on emphasis with a proven track record of building and evaluating data pipes and delivering systems for final production.
• Prefer having working knowledge in any reporting tools like PBI (DAX security model creation) Tableau.
• Experience with various data systems like Oracle Data Warehouse Snowflake.
• Strong understanding devops on-premise and cloud deployments - AWS Google Azure.
• Strong written and verbal communication skills
• Excellent problem solving and troubleshooting skills

• A minimum of 6 years of experience with Bachelor of Science or Degree in Computer Science Management Information Systems orBusiness or related field is required