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Description:
The Data Engineer will be responsible for developing and maintaining ETL processes to ensure seamless data integration from various sources into the data warehouse.
They will create and optimize complex SQL queries for reporting and analytics purposes.
The role involves leveraging Python and R for data cleaning, manipulation, and statistical analysis.
Collaborating with cross-functional teams to understand data requirements and implement automated data pipelines.
Ensuring data quality and accuracy by implementing validation checks and error handling mechanisms.
Utilizing Google BigQuery for scalable data analysis and transformation.
Implementing forecasting models like ARIMA and Prophet for predictive analytics.
Automating and orchestrating ETL processes using PowerShell, scripts, and other technologies.
Integrating Tableau with external data sources and APIs to create dynamic, real-time dashboards.
Prioritizing project tasks, handling scope changes, and ensuring projects meet deadlines and business objectives.
Collaborating closely with stakeholders to align project goals with business needs.
Leading project teams, allocating resources, and tracking project progress using project management tools.
Maintaining clear documentation of project plans, milestones, and outcomes for effective communication and reporting.
Requirements:
Develop and maintain ETL processes for data integration.
Create and optimize complex SQL queries for reporting and analytics.
Use Python and R for data cleaning, manipulation, and statistical analysis.
Collaborate with cross-functional teams to implement automated data pipelines.
Ensure data quality and accuracy through validation checks and error handling.
Utilize Google BigQuery for data analysis and transformation.
Implement forecasting models like ARIMA and Prophet for predictive analytics.
Automate ETL processes using PowerShell, scripts, and other technologies.
Integrate Tableau with external data sources and APIs for real-time dashboards.
Prioritize project tasks, handle scope changes, and meet deadlines.
Collaborate with stakeholders to align project goals with business needs.
Lead project teams, allocate resources, and track project progress.
Maintain documentation of project plans, milestones, and outcomes.
Knowledge of HIPAA laws and communication regulations.
Excellent communication and negotiation skills.
Detail-oriented with strong organizational abilities.
Ability to work independently and collaboratively within a team.
Proficiency in Microsoft Office Suite and relevant software applications.
Benefits:
Opportunity to work in a dynamic and collaborative team environment.
Competitive salary and benefits package.
Professional development and growth opportunities.
Exposure to cutting-edge technologies in the healthcare industry.
Chance to make a significant impact on data integration processes.
Supportive work culture that values innovation and teamwork.