Vacancy expired!
Job Description
Responsible for developing and supporting data products, this resource plays a critical role in the development of data warehouse/data lake solutions utilized by internal and external stakeholders. Design and develop warehouse solutions built on the Microsoft SQL Server and AWS technology stacks. These solutions include ETL, data modeling, data quality assessment and data delivery.
Responsibilities:· Create high performance data products by monetizing warehouse and ETL solutions using SSIS, python and Spark
· Performance tuning and optimization of ETL, SQL and database structures
· Design and develop tables, views, triggers, indexes, constraints and stored procedures
· Monitor long running transactions and can optimize query executions using best practices and methodologies
· Assist/support in the design process on an as needed basis
· Design data models for enterprise-wide data integration incorporating:
o Structured and unstructured data
o Real time, on-demand, batch and varying timing schedules
· Build data flow automation to retrieve, transform and load data
· Manage data warehouse structure and file storage rules
· Data management functions including:
o Metadata management
o Create, alter, delete, grant permissions, indexing, updating
o Query tuning
· Maintain best practices for handling, storing and using data
· Tools:
o SQL Server/SSIS
o Python/Java
o Web Analytics Platforms – Google, Adobe, etc.
o BI Platforms – Tableau, Datorama, etc
o Cloud Technologies – AWS, Azure, Google
Qualifications
Minimum Requirements:· BS Degree in one of the following subject areas; Computer Science, Information Technology or related field preferred
· Minimum of 2-3 years of experience developing large scale complex database solutions
· Demonstrated experience with BI database design
· Ability to track and resolve database related incidents as well as requests
· Strong understanding of database structures, theories, principles, and practices
· Strong understanding of ETL and data warehouse principles
· Good interpersonal, written and oral communication skills
· Technical documentation skills
· Ability to present complex ideas in user-friendly language
· Self-motivated and directed, with keen attention to detail
· Able to prioritize and execute tasks in a team-oriented, high-pressure environment
Specific Skills Required:· Minimum 2-3 years SQL experience, 2-3 years of ETL experience, 2-3 years analyzing data sets
· Strong data warehouse knowledge
· Experience with JSON, XML, ORC,AVRO and Parquet file formats
· Experience with large data sets
· Java, C# or R experience a plus
· Experience with REST API calls
· Experience with Web and Digital marketing data a plus
Additional Information
All your information will be kept confidential according to EEO guidelines.
Vacancy expired!