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Senior Data Engineer

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.


Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

How is this team contributing to the vision of Providence?

 

Providence is committed to improve the caregiver and patient experience through simplification, modernization, and innovation. The Clinical Technology Services (CTS) Data Engineering and Analytics team is key to this mission, focusing on modernizing our analytical data platform. This team enhances our analytical capabilities and prepares vital data frameworks for enterprise contact centers, service transformation, clinical operations, and clinical engineering devices. By leveraging data-driven insights, the team plays a critical role in advancing continual service improvement and supporting Providence's mission.

 

Our Team Culture:

 

  • Collaborative Environment: We foster a work atmosphere that emphasizes teamwork, continuous learning, and the freedom to explore and experiment with new ideas.
  • Empowerment: We believe in empowering both individuals and teams, providing them with the support and resources needed to reach their full potential and excel in their roles.
  • Data-Driven Approach: Our decision-making process is anchored in data, guiding us in shaping our product vision and roadmap to ensure we deliver impactful solutions.

 

What will you be responsible for?

 

  • Collaboration: Work closely with Product Owners, Analysts, and Data Scientists to understand the requirements and translate them into effective technical solutions.
  • Power Apps: Manage and enhance the PowerApps based applications and work closely with the PMs and take the end to end ownership. 
  • Data Platform/ Pipeline Development: Design, build, and maintain scalable data pipelines to support efficient ETL (Extract, Transform, Load) processes, integrating data from diverse sources to build our analytics data platform/ lakehouse.
  • Data Visualization and Reporting: Develop and implement data visualizations/ reports. Establish a comprehensive PowerBI-based reporting framework to effectively narrate the story behind data.
  • Security Implementation: Implement and continuously monitor security measures to safeguard our data lakehouse and analytics environments.
  • Optimization: Continuously improve and optimize data pipelines and storage solutions to enhance performance and cost-efficiency.

 

 

Who are we looking for?

 

  • Experience: 2-5 years of hands-on experience as a Data Engineer, preferably working with the Microsoft Azure cloud platform.
  • Technical Skills: Proficient with the PowerApps, Azure data stack, including Azure Databricks, ADLS Gen2 - Lakehouse, Azure Data Factory, SQL Server and Power BI.
  • Data Expertise: Strong understanding of data modeling concepts and database design principles.
  • Programming Skills: Skilled in Python, SQL, or Scala for data manipulation and transformation.
  • DevOps Knowledge: Strong understanding of DevOps practices.
  • Communication Skills: Excellent interpersonal, verbal, and written communication skills.
  • Problem Solving: Capable of effectively troubleshooting and resolving complex data-related issues.
  • Education: A Bachelor's or Master's degree in Computer Science or a related field.

 

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.

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