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Sr. Azure Data Engineer
Medline
Northbrook · On-site Full-time Mid Level $101k – $152k/yr 2d ago
About the role
Job Summary
Job Description
Translate business requirements into the appropriate data models that integrate with the overall logical data warehouse. Define business data requirements and create logical and physical data models. Assist as needed in the design and development of ETL standards, policies, procedures, and metadata to ensure accuracy, quality, integrity, and optimization of this information.
- Create/maintain the Enterprise Business Intelligence data architecture to increase the robustness, performance, and scalability of systems.
- Ensure optimal end user performance by establishing and consistently executing overall system performance assessment processes and associated action plans.
- Create conceptual, logical and physical database models as well as process and data lineage diagrams.
- Create Application design, High level Design based on customer requirements.
- Provide oversight and direction for the design and development of the data layer(s). Develop logical data models and physical data base designs applied across multiple computing environments.
- Maintain quality of data in the warehouse, ensuring: integrity of data in the warehouse, correcting any data problems, data currency, establish design procedures to purge/archive old data.
- Assist development team in the design of new BI solutions. Work with product owner and business users to understand and translate user stories and/or requirements into data models, analytics reports and scenario models. Work closely with ETL developers to assist them with development life cycle.
- Lead technology review meetings and ensure appropriate governance processes are followed. Ensure that documentation is created, meets standards, and is properly maintained according to established standards and procedures, to facilitate ongoing support and maintenance. Provide technical leadership and guide team members.
- Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and datamovement across the enterprise. Ensure design meets the requirements. Source data from legacy systems that are to be loaded into the warehouse; provide extracts of data from the warehouse back to operational systems.
- Provide architectural solutions covering data structures, sourcing, integration, security, and retention.
- Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.
Education
- Bachelor’s degree
Relevant Work Experience
- Minimum 4 years of experience in consulting or similar analyst position implementing DW’s and Data Marts.
- Proven experience with ETL tool either SSIS, Informatica or DataStage.
- Experience working with data warehouses.
- Professional or educational experience in software development.
Additional
- Excellent communication, and data analysis skills
- Excellent knowledge of SQL for performing data analysis
- Proficient in MS Office suite (Word, Excel, PowerPoint, Access, Visio) software
Preferred Qualifications
- Advanced Analytical Thinking and Problem Solving skills
- Solid experience in architecture, advanced reporting and dashboards.
- Strong SQL skills and experience with performance tuning are required.
- Superior Communication and Business-Technical Interaction skills.
- Good understanding of Data Modeling concepts, Data relationships.
- Knowledgeable with ETL technologies SSIS, Informatica or DataStage.
Compensation
- Anticipated Salary Range: $101,000.00 - $152,000.00 Annual
- Bonus and/or incentive eligible.
- Salary varies based on applicant’s location, education, experience, skills, and abilities.
- Medline will not pay less than the applicable minimum wage or salary threshold.
Benefits
- Health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average.
- For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.
- For a more comprehensive list of our benefits, please click here.
Company Overview
- Medline offers a business casual, entrepreneurial work environment with strong growth potential, a competitive compensation package, and a complete benefits package including medical/dental/vision/life insurance; 401(k) with company match. And much more!
- Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
Diversity & Inclusion
- We’re dedicated to creating a Medline where everyone feels they belong and can grow their career.
- We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging page here.
Equal Opportunity Employer
- Medline Industries, LP is an equal opportunity employer.
- Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.
Requirements
- Minimum 4 years of experience in consulting or similar analyst position implementing DW’s and Data Marts.
- Proven experience with ETL tool either SSIS, Informatica or DataStage.
- Experience working with data warehouses.
- Professional or educational experience in software development.
- Excellent communication, and data analysis skills
- Excellent knowledge of SQL for performing data analysis
- Proficient in MS Office suite (Word, Excel, PowerPoint, Access, Visio) software
- Advanced Analytical Thinking and Problem Solving skills
- Solid experience in architecture, advanced reporting and dashboards.
- Strong SQL skills and experience with performance tuning are required.
- Superior Communication and Business-Technical Interaction skills.
- Good understanding of Data Modeling concepts, Data relationships.
- Knowledgeable with ETL technologies SSIS, Informatica or DataStage.
Responsibilities
- Translate business requirements into the appropriate data models that integrate with the overall logical data warehouse.
- Define business data requirements and create logical and physical data models.
- Assist as needed in the design and development of ETL standards, policies, procedures, and metadata to ensure accuracy, quality, integrity, and optimization of this information.
- Create/maintain the Enterprise Business Intelligence data architecture to increase the robustness, performance, and scalability of systems.
- Ensure optimal end user performance by establishing and consistently executing overall system performance assessment processes and associated action plans.
- Create conceptual, logical and physical database models as well as process and data lineage diagrams.
- Create Application design, High level Design based on customer requirements.
- Provide oversight and direction for the design and development of the data layer(s).
- Develop logical data models and physical data base designs applied across multiple computing environments.
- Maintain quality of data in the warehouse, ensuring: integrity of data in the warehouse, correcting any data problems, data currency, establish design procedures to purge/archive old data
- Assist development team in the design of new BI solutions.
- Work with product owner and business users to understand and translate user stories and/or requirements into data models, analytics reports and scenario models.
- Work closely with ETL developers to assist them with development life cycle.
- Lead technology review meetings and ensure appropriate governance processes are followed.
- Ensure that documentation is created, meets standards, and is properly maintained according to established standards and procedures, to facilitate ongoing support and maintenance.
- Provide technical leadership and guide team members.
- Develop standards, process flows and tools that promote and facilitate the mapping of data sources, documenting interfaces and datamovement across the enterprise.
- Ensure design meets the requirements.
- Source data from legacy systems that are to be loaded into the warehouse; provide extracts of data from the warehouse back to operational systems.
- Provide architectural solutions covering data structures, sourcing, integration, security, and retention.
- Define governance and best practices around meta-data to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, reusability, and consistent definitions for common reference data.
Benefits
medical insurancedental insurancevision insurancelife insurance401(k) with company match401(k) contributionspaid time off
Skills
AccessDataStageExcelInformaticaMS OfficePowerPointSQLSSISVisioWord
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