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No of position :- ( 1 )
Post :- 27th Nov 2021
Skills: -depth knowledge of Microsoft SQL Server 2008R2, 2012 and 2016 Administration and Engine.
• Ability to migrate legacy 2008 SQL installs to modern methods.
• Rightsizing DBs to appropriate versions (Developer, Standard, Enterprise, etc)
• Continuous security and maintenance of all SQL instances
• Validation of our entire SQL environments with constructive recommendations for improvement (task automation, etc).
• Experience with Azure SQL cloud platforms.
• Experience Using SQL Profiler traces and other tools to find the most frequently run queries and debugging skills.
• Expert-level knowledge of backups, restores, recovery models, database maintenance operations.
• Expert in Performance tuning and query optimization using DMVs, Performance Monitor, SQL Profiler and other related monitoring and troubleshooting tools.
• Proficiency authoring and analyzing T-SQL code and schema (stored procedures, functions, tables, views, triggers, indexes, constraints).
• Experience in troubleshooting, configuration management and experience with High Availability (HA).
• Experience in Managing SQL database Cluster, replication & Mirroring.
• Ability to write complex SQL queries, stored procedures and data migration scripts.
• Strong organizational skills, good communication skills.
• Ability to learn and adapt new technologies in a fast-paced environment.
SKILLS
• Advanced hands on experience with SQL Server, Analysis Services and Microsoft cloud data platform offerings including SQL Database and SQL Datawarehouse
• 7 years of experience with data warehouse technical architectures, ETL ELT, and reporting analytic tools
• 5 years of experience designing and building data warehouse solutions
• 5 years of experience building data pipelines
• 2 years of experience with production BI implementations in the Cloud
• Experience building Power BI, Excel, and Reporting Services dashboards and reports
• Exceptional problem solving, technical and data analysis skills
• Great written an d verbal communication and presentation skills
• Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data
• Ability to work in a team environment that promotes collaboration
• Experience with Data Lake infrastructure.
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