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Lead 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

JD- Lead Data Engineer

How is this Team contributing to the vision of Providence:

We, at Enterprise Services, the healthcare consulting and services arm of Providence India, help build technology solutions that modernize and simplify each step of the healthcare delivery process. And we do that by putting the patient and the provider at the centre of everything we do. Using the most promising and practical ideas, combined with the experience and expertise from people from the healthcare industry, we are creating experiences that work for care facilities, their patients and move us ahead on our mission of “Health for a better world “

What will you be responsible for?

As a Lead Data Engineer, you will be responsible to develop effective and high-quality healthcare program integrity analytics that meet business requirements. The Lead Data Engineer will lead the Data Engineering strategy and delivery across global projects and products. They will ensure the Data Engineering function works as one team, promote excellence and technical development, and adheres to key principles and processes. They will guide and are responsible for strategic decisions with the support of a team of senior leads. The LDE is critical for ensuring the team is forward thinking and remains at the forefront of the field.

What would your day look like?

This position includes collaborating with DevOps teams to implement CI/CD pipelines, automated deployments, and infrastructure as code (IaC) practices for AWS-based solutions. Document design, development, and deployment processes, as well as create technical specifications and user guides for developed solutions.
Use a systematic approach to plan, create, and maintain data architectures while also keeping it aligned with business requirements. Prepares and delivers results to leadership with analytic insights, interpretations, and recommendations.
Analyze and organize raw data.
Build data systems and pipelines.
Evaluate business needs and objectives.
Interpret trends and patterns.
Conduct complex data analysis and report on results.
Prepare data for prescriptive and predictive modelling.
Build algorithms and prototypes.
Combine raw information from different sources
Explore ways to enhance data quality and reliability.
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects
Using healthcare data to achieve administrative needs and goals.
Understanding data storage and data sharing methods.
Understanding healthcare business operations.
Utilizing different data sources for analyses.

Who are we looking for?

6-10 yrs. of professional work experience preferable in management consulting or high growth start-ups preferably in healthcare.
3+ years of experience in a data analytical role.
Bachelor's degree in mathematics, statistics, healthcare administration, or related field.
Experience in Hive, SQL, Databricks, Snowflake and Alteryx
Familiarity with data modeling, data warehousing, and data integration concepts.
Data engineer should be able to design and implement ETL pipelines that can extract data from various sources, transform it, and load it into the data warehouse or data lake.
Familiarity with agile development methodologies and experience working in Agile teams
Familiar with big data technologies like Hadoop, Spark, and Kafka
Expertise with visualization tools For e.g : Power BI,Excel
Knowledge of data management applications.
Analytical mindset with good problem-solving skills.
Excellent written and verbal communication skills.
Good interpersonal skills.

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

EthicsPoint - Providence Health & Services

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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