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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and developing data integration pipelines across various platforms, including RDBMS, MPP, Hadoop, and Azure. Proficient in collaborating with stakeholders to create data product solutions that drive insights and improve business intelligence.
Highest-signal resume keywords
Data Integration DevelopmentSQL ProficiencyBusiness Intelligence ArchitectureHadoop TechnologiesAzure Cloud Analytics Services
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IntegrationSQLAnalytics ToolsHadoopHDFSHiveSparkScalaAzure SQLTeradata BTEQ
Soft Skills
Analytical SkillsCommunication SkillsPresentation SkillsAttention to DetailMultitasking
Tools & Technologies
Azure Data Lake StorageAzure Data FactoryControl-MZenaDevOps Tools
Industry Keywords
Healthcare Sector ExperienceEnterprise Business AnalyticsBusiness IntelligenceData ArchitectureSemantic Model
Tech Stack
Tools & technologiesAzureCloudHadoopHDFSPySparkPythonRDBMSScalaSparkSQL
About the role
Key responsibilities & impact- Design and develop data integrations
- Deliver Enterprise BI data marts and BI semantic data layers
- Design and develop end-to-end data integration pipelines across RDBMS, MPP platforms, Hadoop data lake, and Azure cloud
- Manage multiple projects within the Enterprise Business Analytics & Business Intelligence team
- Support others within the DAS organization
- Improve data processes, technology infrastructure, and reporting/analytical services
- Collaborate with data architecture teams to develop and manage a universal semantic model
- Work with business stakeholders to design and develop data product solutions that enable insights
- Gain understanding of available data and promote innovative insights
- Source, interpret, and present analytics in a thoughtful and meaningful manner
Requirements
What you’ll need- Bachelor’s degree with 2 years of experience OR Master’s Degree or 6 years of equivalent experience with data integration platforms
- Minimum 1 year of experience working with SQL
- Minimum 1 year of experience working in Data and Analytics tools and solutions
- Knowledge of Business Intelligence Architecture and technologies
- Experience working with a data architecture team to develop/manage a universal semantic model
- Ability to work with business stakeholders to design and develop data product solutions
- Knowledge and understanding of Hadoop technologies including HDFS, Hive, HQL, Spark, Scala, PySpark/Python, and Sqoop
- Knowledge and understanding of MPP platforms including Teradata BTEQ and SQL
- Knowledge and understanding of Azure Cloud Analytics Services including Synapse, ADLS, ADF, and Azure SQL
- Knowledge of DevOps and continuous deployment/integration processes and tools
- Knowledge of enterprise-grade scheduling tools such as Control-M and Zena
- Strong analytical, written, communication, and presentation skills
- Ability to work independently and as part of a team
- Ability to multitask, maintain attention to detail, and prioritize work within tight deadlines
- Healthcare sector experience preferred
- Strong knowledge of SQL, analytics tools, and languages for analyzing large datasets from multiple data sources
Benefits
Comp & perks- Health and wellness benefits
- 401(k) savings plan
- Pension plan
- Paid time off
- Paid parental leave
- Disability insurance
- Supplemental life insurance
- Employee assistance program
- Paid holidays
- Tuition reimbursement
- Other incentives
- Annual incentive bonus plan, subject to plan terms and conditions