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Consulting/Contract
UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 9th Dec 2022
Responsible for the following: This is a senior level position so candidate must be stellar
• Identifying installation solutions for new databases
• Determining the requirements for a new database
• Publishing and/or presenting design reports
• Producing Architecture diagrams/proof of concepts
• Identifying areas for improvement in current systems
• Coordinating with other team members to reach project milestones and deadlines
• Auditing database regularly to maintain quality
• Creating systems to keep data secure
Education and Work Experience:
• A Bachelor’s Degree in a technology area of study; preferably in Computer Science, MIS or Analytics
• Solid experience in Data domain and it’s underlying capabilities
• 10+ years equivalent work experience
• 5+ years of experience in Data Analysis, Data Architecture and/or Data Warehousing; preferably in on AWS technology stack or shared enterprise data environment
• Experience with defining patterns/practices/concepts
• Experience with data quality, data security, data analytics
• 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL/ data ingestion protocols).
• 5 + years of experience in ETL Development/ Architecture and ETL Tools
• 3 + Experience in architecting data processing applications in cloud hosted infrastructures and cloud services (such as AWS, Azure etc.)
• Experience with migration of on-prem databases to AWS Postgres, Snap Logic, Aurora DB or Snowflake DB, Glue etc.
• Experience with database performance tuning, memory optimization, partitioning etc.
• Deep experience in logical, physical and semantic data modeling of structured and unstructured data
• Exposure to Mainframe is a plus
• CRM experience such as Adobe or Salesforce is helpful
• Experience with multiple SDLC methodologies – Waterfall and Agile
• Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience
• Strong inter-personal skills and ability to work as part of a team
• Ability to quickly learn and adapt modeling methods from case studies or other proven approaches