Data Engineer III - Data Engineering

Job Description

Works with business stakeholders to identify business problems, opportunities and/or initiatives for which analytics models may provide insights that can contribute to or drive the development of an approach or solution Conceptualizes designs and develops data management solutions in addressing complex business problems using industry best practice data engineering techniques. Translates data into information and insights with clear scenario analysis and business impact and execution plan to drive impact Works with other team members to include accurate and relevant data for machine learning models, including identification of potential proxy data sources, and design business analytics solutions, considering current and future needs, infrastructure and security requirements, load frequencies, etc. Conducts data analysis and designs and develops moderately complex analytic algorithms Models and frames business scenarios that are meaningful and which impacts critical business processes and/or decisions Collaborates with subject matter experts to select relevant sources of information, translates business requirements into semantic access, conceptual, logical and/or physical data models Executes data profiling and preventative procedures to improve data quality; uses technology to extract and analyze raw data Identifies opportunities and supports the development of automated solutions that will enhance the quality of enterprise data Codes, tests, debugs and documents complex programs, and enhances existing programs to ensure that data processing production systems continue to meet user requirements Works to develop the specifications of customer and user specific reports including network exclusions, special circumstances, and custom data elements Identifies complex areas to solve new technical problems and provides innovative technical solutions within data management platform When assigned, analyzes data platform to identify areas of improvement and provides innovative technical solutions to optimize and improve performance. Additional Job Description EDUCATIONAL QUALIFICATIONS: Bachelor s degree in Computer Science, Information Technology or any other related discipline or equivalent related experience. Preferred Certifications: Data Analytics Certifications Data Management/Engineering Certifications in MS Azure, Databricks etc Any BI Tool (PowerBI, Qlik Sense, Tableau etc) Certifications WORK EXPERIENCE: 4-6 years of directly related or relevant experience, preferably in healthcare data analytics or data engineering/data management using cloud/on-prem technologies such as MS Azure , (Databricks, Synapse, ADF, Logic Apps), MS SQL (SSIS, SSRS) SKILLS & KNOWLEDGE: Behavioral Skills: Assertiveness Communication Skills (Both verbal and written) Creativity & Innovation Critical Thinking Impact and Influencing Multitasking Prioritization and Organization Technical Skills: Advanced Data Visualization Techniques Data Engineering, building data pipelines using both cloud and on prem technologies Building Datawarehouse/Data marts /Data Lakes Big Data Analysis Tools and Techniques Data Governance Data Management Data Modelling Data Quality Assurance Programming languages like SQL, R, Python Tools Knowledge: Data Engineering/Data Management tools like Databricks and related technologies, MS Azure Synapse, ADF, Logic Apps, MS SSIS Business Intelligence Software like Power BI, Tableau, QlikSense Data Visualization Tools Microsoft Office Suite EDUCATIONAL QUALIFICATIONS: Bachelor s Degree in Statistics, Computer Science, Information Technology or any other related discipline or equivalent related experience. Preferred Certifications: Advanced Data Analytics Certifications SAS Statistical Business Analyst Professional Certification WORK EXPERIENCE: 4+ years of directly-related or relevant experience, preferably in healthcare data analytics or data engineering. SKILLS & KNOWLEDGE: Behavioral Skills: Critical Thinking Detail Oriented Impact and Influencing Interpersonal Communication Multitasking Problem Solving Time Management Technical Skills: Advanced Data Visualization Techniques Advanced Statistical Analysis Big Data Analysis Tools and Techniques Data Governance Data Management Data Modelling Data Quality Assurance Programming languages like SQL, R, Python Tools Knowledge: Business Intelligence Software like Tableau, Power BI, Alteryx, QlikSense Data Visualization Tools Microsoft Office Suite Statistical Analytics tools (SAS, SPSS3)