BTG, in partnership with a top ranked facilities management company in Florida, has an immediate need for an IT Business Intelligence Engineer.
Requirements of the IT Business Intelligence Engineer
Bachelor’s degree in IT or related field IT of education, training, and/or experience required.
2-5 years of business intelligence data engineering experience, including large-scale complex data warehouses, data lakes OR equivalent experience
Experience with AWS or Azure.
In-Depth understanding of data warehouse design (e.g. dimensional modelling)
Proficiency in Microsoft Office Products
Ability to work independently, with limited required direction and guidance.
Analytical and Problem-Solving Skills
Experience with Snowflake database is plus.
Experience with database design, architecture and warehousing with a focus on process automation
3+ years of experience in building ETL pipeline using Spark for moving data in/out of Data Lake
Working knowledge of cloud data platforms (Azure or Amazon). Preferably experience with Azure Data Lake, Data Warehouse, Synapse Analytics, Amazon Redshift, Data Factory, Logic Apps, Data Bricks, Advanced T-SQL, REST API concepts, Powershell, SSIS, PowerBI.
Experience in database design, architecture, and warehousing as well as building, implementation, and optimization of BI solutions/technologies.
Experience using data reporting, BI, and visualization tools including preferably experience with SSRS, Data Studio, Power BI, Tableau.
Passionate about data and contributing to the growth of a data driven organization including conceptual knowledge of Algorithmic concepts, gathering data, Data Governance concepts.
Familiar with Standup, Sprint Planning, Backlog grooming, Demo, and all other Scrum Ceremonies.
Experience with real time data ingestion using Kafka.
Experience with CI/CD pipelines with Jenkins, Bitbucket, GitHub, etc.
Experience with Data Analysis.
Excellent oral, written, presentation and interpersonal communications skills; Ability to effectively exercise tact, discretion, judgment and diplomacy when interacting and/or negotiating with internal and external customers
Understanding of agile application development and software development life cycle concepts.
Working knowledge of current network hardware, protocols, and standards.
Experience in Microsoft Azure DevOps desirable
Experience in Power BI, MS Project, Visio, Workflows, Process Maps
Benefits of the IT Business Intelligence Engineer
Full time position
Medical / Dental / Vision
28 days of PTO
Company matched 401k
Responsibilities of the IT Business Intelligence Engineer
Design and build reporting and analysis tools that will help streamline business and make reporting, analysing, planning and forecasting more efficient.
Create ETL/ELT processes to move data between internal and external sources using APIs, ETL using technologies like Azure Data Factory, Loom Integrate or Matillion
Play an instrumental role supporting and managing the Data Warehouse strategy including fundamental understanding of Data Lakes, Data Catalogs, Hardware and Network Topology
Should be an excellent communicator and should possess excellent debugging skills and problem-solving skills. Ability to tackle complex problems with creative solutions when the path may not be clear.
Improves quality results by implementing unit, system and integration testing cycles.
Maintains product quality by designing and executing testing.
Present to Director IT reports weekly on progress as well as problems and solutions
Business Intelligence Development
Take a lead role in enhancements of core applications and contribute to development where required
Implement current industry standard tools & technologies to support development and maintenance of systems and business intelligence tools
Ensure planning, requirements analysis, designing, building and testing is performed to a high standard
Identify opportunities for process improvement through automated system integrations
Implement strategies fo
r maintaining and securing corporate data with a focus on single source of truth to enable improved data warehousing and reporting capability
Develop systems with a focus on future proofing
Identify opportunities for reducing costs and increasing the value
Work collaboratively with the managers to identify opportunities for improvement
Facilitate informed strategic debate, planning & decision making with the management team
Provide high level strategic advice to the Senior Manager with supporting data and information
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