What are the responsibilities and job description for the Data Lakehouse Engineer position at Bravo Technical Resources?
Job Description
THE JIST:
The Data Warehouse Engineer will be tasked with managing data movement and data storage, from a variety of data sources to a consolidated data lake/ODS/warehouse, intended to support a variety of business intelligence offerings. Works closely with members of the Information Technology departments to support, design and implement data solutions through an iterative process with end users.
THE ESSENTIALS:
• Works across Technology, Vendor, and operational and executive teams for data-related and insight needs.
• Familiarity with data structures, storage systems, cloud infrastructure, and other technical tools.
• Ability to work effectively in teams of technical and non-technical individuals.
• Ability to continuously learn, work independently, and make decisions with minimal supervision
• Demonstrate accountability, prioritize tasks, and consistently meet deadlines.
• Create, maintain, and optimize data environments needed to satisfy defined business requirements in on-premise and hosted environments.
• Identifying, designing and implementing internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Familiarity with Agile/SCRUM practices
SCOPE:
• Understanding of how technical decisions impact the user of what you're building
• Prioritization of work is typically determined by the team
• Will frequently makes recommendations to end users to drive better outcomes
• Has some authority to modify processes, interpret policies or recommend programs that will directly impact the functional area
• Coordinate communications with IT Support of updates, changes, and issues.
• Monitor, maintain, and provide on-call support for production data environments.
CREDENTIALS:
• 1 -3 years of data engineering or relevant industry experience
• Preferred Computer Science, Mathematics, and Software Engineering degree
QUALIFICATIONS:
• Proficiency with programming languages such as Python, SQL, MDX, DAX or similar languages
• Proficiency with reporting tools such as Power BI, SSRS, Tableau, QlikView, etc.
• Experience with SQL database and design including stored procedures, triggers, and views (SQL Server, Oracle, mysql, Pyspark).
• Windows Server knowledge is helpful (powershell, scripting, performance metrics checks, event viewer)
• Experience with data warehousing, Azure and the Azure Stack
• Exposure to DataBricks
The Data Warehouse Engineer will be tasked with managing data movement and data storage, from a variety of data sources to a consolidated data lake/ODS/warehouse, intended to support a variety of business intelligence offerings. Works closely with members of the Information Technology departments to support, design and implement data solutions through an iterative process with end users.
THE ESSENTIALS:
• Works across Technology, Vendor, and operational and executive teams for data-related and insight needs.
• Familiarity with data structures, storage systems, cloud infrastructure, and other technical tools.
• Ability to work effectively in teams of technical and non-technical individuals.
• Ability to continuously learn, work independently, and make decisions with minimal supervision
• Demonstrate accountability, prioritize tasks, and consistently meet deadlines.
• Create, maintain, and optimize data environments needed to satisfy defined business requirements in on-premise and hosted environments.
• Identifying, designing and implementing internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Familiarity with Agile/SCRUM practices
SCOPE:
• Understanding of how technical decisions impact the user of what you're building
• Prioritization of work is typically determined by the team
• Will frequently makes recommendations to end users to drive better outcomes
• Has some authority to modify processes, interpret policies or recommend programs that will directly impact the functional area
• Coordinate communications with IT Support of updates, changes, and issues.
• Monitor, maintain, and provide on-call support for production data environments.
CREDENTIALS:
• 1 -3 years of data engineering or relevant industry experience
• Preferred Computer Science, Mathematics, and Software Engineering degree
QUALIFICATIONS:
• Proficiency with programming languages such as Python, SQL, MDX, DAX or similar languages
• Proficiency with reporting tools such as Power BI, SSRS, Tableau, QlikView, etc.
• Experience with SQL database and design including stored procedures, triggers, and views (SQL Server, Oracle, mysql, Pyspark).
• Windows Server knowledge is helpful (powershell, scripting, performance metrics checks, event viewer)
• Experience with data warehousing, Azure and the Azure Stack
• Exposure to DataBricks
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