Data Solutions Specialist

3 weeks ago

Vancouver, Canada Providence Healthcare Full time

**Article Flag: Mandatory Vaccination Please Note**:
As per the current Public Health Orders (Long Term Care/Seniors Assisted Living Provincial Health Order and the Health Sector Order), as of October 26, 2021, all employees working for Providence Health Care must be fully vaccinated against COVID-19. Proof of vaccination status will be required.

**Summary**: Within the context of a client
- and family-centred model of care and, in accordance with the Mission, Vision and Values, and strategic directions of Providence Health Care, the person promotes a safe, respectful, and civil working environment for patients, residents, families, visitors and staff.

**Qualifications / Skills and Education**: Education
Bachelor's Degree in Computer Science, Computer Engineering, Health Informatics or related field plus a minimum of five (5) years of recent, related experience with data modeling, ETL, Microsoft BI tools (SSAS, SSRS, SSIS and Power BI), T-SQL, Azure Data Lake, Data Factory, Azure SQL Database and Azure Synapse Analytics, with a track record of processing large datasets. Excellent interpersonal and communication skills, both written and verbal. Cloud certificates related to Azure preferred.

Skills and Abilities
A demonstrated knowledge of moving data across multiple platforms using Microsoft Business Intelligence stack: SSIS, SSAS, SSRS (2017) and dashboard design using visualization tool such as Power BI.
Demonstrated ability to build and optimize large data pipelines, architectures and data sets and computing tools such as Spark, MySQL, Azure, AWS, etc.
Coding proficiency in SQL queries, modern programming languages (C#, Python, Java etc.) and/or other scripting language.
Demonstrated proficiency working with both relational (SQL) and non-relational databases (NoSQL).
Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption.
Effectively work in an ETL framework driven environment.
Strong analytical, critical thinking, and problem-solving skills.
Strong background in data architecture, data quality, data mapping, and data structures.
Ability to understand and prioritize user and business requirements, and to conceptualize information processing solutions in response to them, including analyze, scope and define work effort required to correct program deficiencies and problems.
Demonstrated knowledge of OLAP technologies and dimensional modeling.
Proven ability to interpret data files and record layouts to map fields between multiple systems and database tables.
Strong understanding of database and business intelligence concepts.
Proven ability to prepare, maintain and publish ETL documentation, including source-to-target mappings and business-driven transformation rules.
Strong quantitative, analytical, problem solving, organizational and interpersonal skills.
Demonstrated attention to detail and maintaining high quality standards.
Proven ability to plan and execute complex projects.
Ability to work to independently, meeting deadlines under pressure, with mínimal supervision and frequent interruptions.
Ability to clearly and fluently translate technical findings to non-technical partners and to communicate to multiple audiences using data visualizations and analytics techniques.
Strong team player with a client/user orientation.
Ability to teach, coach and mentor others.
Physical ability to perform the duties of the position.
A demonstrated knowledge of moving data across multiple platforms using Microsoft Business Intelligence stack: SSIS, SSAS, SSRS (2017) and dashboard design using visualization tool such as Power BI.
Demonstrated ability to build and optimize large data pipelines, architectures and data sets and computing tools such as Spark, MySQL, Azure, AWS, etc.
Coding proficiency in SQL queries, modern programming languages (C#, Python, Java etc.) and/or other scripting language.
Demonstrated proficiency working with both relational (SQL) and non-relational databases (NoSQL).
Demonstrated understanding of data privacy, security and related tools such as anonymization and encryption.
Effectively work in an ETL framework driven environment.
Strong analytical, critical thinking, and problem-solving skills.
Strong background in data architecture, data quality, data mapping, and data structures.
Ability to understand and prioritize user and business requirements, and to conceptualize information processing solutions in response to them, including analyze, scope and define work effort required to correct program deficiencies and problems.
Demonstrated knowledge of OLAP technologies and dimensional modeling.
Proven ability to interpret data files and record layouts to map fields between multiple systems and database tables.
Strong understanding of database and business intelligence concepts.
Proven ability to prepare, maintain and publish ETL documentation, including source-to-target mappings and business-driven transformation rules.
Strong quantitativ

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