Support and maintain operational availability and accuracy of enterprise data
Work within an interdisciplinary group to develop, test, and deliver data solutions to business stakeholders
Perform analysis and research to support and/or develop data transformation and workflows
Collaborate with SMEs to develop business rules that measure and assure data quality; facilitating discussions with end users and data modelers
Lead efforts to quantify and qualify reported data quality issues; develop and report program metrics to demonstrate progress and compliance
Sets day-to-day objectives and delivers job responsibilities that may vary outside typical norms or practices.
Work consists of tasks that are occasionally not routine and often works independently and is required to apply discretion within established operational boundaries and procedures.
Requirements
Bachelor’s degree in Computer Science or related field or equivalent years of relevant work experience
A minimum of three (3) years of experience designing and developing ETL and/or BI solutions
Demonstrable experience in all stages of definition, design, implementation, testing and deployment of complex database, ETL, BI and Analytical solutions
Proven experience in Azure DataBricks, Azure Data Factory
Proven experience in Python, PySpark
Proven ability to write complex SQL queries
Proven ability developing medium to complex data quality profiling or metadata analysis processes with an industry leading tool
Ability to manage multiple medium to large scale projects while demonstrating a sense of urgency
Solid understanding of data management and governance concepts, especially data quality and metadata management
Proven understanding of relational database theory
Ability to establish effective working relationships with stakeholders at all different levels
Effective problem-solving skills with attention to detail
Strong interpersonal skills including excellent written and verbal communication skills; listening and critical thinking
Ability to effectively prioritize and execute tasks while working both independently and in a team-oriented, collaborative environment.
Benefits
health insurance
retirement plans
paid time off
flexible work arrangements
professional development
bonuses
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLBI solutionsAzure DataBricksAzure Data FactoryPythonPySparkSQLdata quality profilingmetadata analysisdatabase design
Soft skills
problem-solvingattention to detailinterpersonal skillswritten communicationverbal communicationlisteningcritical thinkingprioritizationexecutioncollaboration