(Local candidates only as F2F Interview is must)
Responsibilities/Expectations:
Works with large data sets in a hybrid cloud environment to develop descriptive statistical models to solve business problems
Supports full life cycle of developed solutions and data warehouses including managing changes production support server/cloud optimization and continual solution improvement
Works with individuals at all levels of the organization to understand business needs and challenges and recommends and implements improvements as well as solves problems with existing solutions when incidents occur
Develops builds and maintains the company Business Intelligence infrastructure and data warehouse
Solves problems within SSIS Azure Data Factory and SSRS failures and defects and resolves issues timely
Collaborates across the enterprise to understand needs of the business and skillsets of citizen develops in order to continually improve business practices architecture data availability and application support
Develops and delivers training and contributes to policies and procedures to support citizen development efforts
Other duties as assigned
Education/Years of Experience:
Required: Bachelors degree in information technology engineering business or a related field and a minimum of five (5) years experience including one (1) year supporting a major technology application
Preferred: A minimum of seven (7) years experience with five (5) or more years in data science and/or business intelligence development
Other Requirements:
Demonstrates excellent organizational/interpersonal skills and safety as the utmost priority
Needs basic knowledge of Microsoft Office Application and PC skills
Proficiency in Database (SQL Oracle)
Solid understanding of data warehousing (SQL Synapse)
Solid understanding of ETL and Job Management
Solid understanding of BI development and associated reports and dashboards (Power BI)
Solid understanding of OLAP/CUBE design
Solid understanding of multi-dimensional database structures (e.g. star schemas)
Preferred: Proficiency in Azure analytics platform (e.g. synapse data bricks data factory)
Preferred: Microsoft certified - Azure Fundamentals
Preferred: Microsoft certified - Azure Data Fundamentals
(Local candidates only as F2F Interview is must) Responsibilities/Expectations: Works with large data sets in a hybrid cloud environment to develop descriptive statistical models to solve business problems Supports full life cycle of developed solutions and data warehouses including managi...
(Local candidates only as F2F Interview is must)
Responsibilities/Expectations:
Works with large data sets in a hybrid cloud environment to develop descriptive statistical models to solve business problems
Supports full life cycle of developed solutions and data warehouses including managing changes production support server/cloud optimization and continual solution improvement
Works with individuals at all levels of the organization to understand business needs and challenges and recommends and implements improvements as well as solves problems with existing solutions when incidents occur
Develops builds and maintains the company Business Intelligence infrastructure and data warehouse
Solves problems within SSIS Azure Data Factory and SSRS failures and defects and resolves issues timely
Collaborates across the enterprise to understand needs of the business and skillsets of citizen develops in order to continually improve business practices architecture data availability and application support
Develops and delivers training and contributes to policies and procedures to support citizen development efforts
Other duties as assigned
Education/Years of Experience:
Required: Bachelors degree in information technology engineering business or a related field and a minimum of five (5) years experience including one (1) year supporting a major technology application
Preferred: A minimum of seven (7) years experience with five (5) or more years in data science and/or business intelligence development
Other Requirements:
Demonstrates excellent organizational/interpersonal skills and safety as the utmost priority
Needs basic knowledge of Microsoft Office Application and PC skills
Proficiency in Database (SQL Oracle)
Solid understanding of data warehousing (SQL Synapse)
Solid understanding of ETL and Job Management
Solid understanding of BI development and associated reports and dashboards (Power BI)
Solid understanding of OLAP/CUBE design
Solid understanding of multi-dimensional database structures (e.g. star schemas)
Preferred: Proficiency in Azure analytics platform (e.g. synapse data bricks data factory)
Preferred: Microsoft certified - Azure Fundamentals
Preferred: Microsoft certified - Azure Data Fundamentals
View more
View less