Job Description :

Essential Duties and Responsibilities :

- Data Engineering and Modeling : Develop and maintain analytics-ready datasets, transformations, and data models within Databricks and Azure-based data platforms to support reporting and business intelligence initiatives.

- Databricks Development : Build and support data transformation workflows, notebooks, and analytics processes utilizing Databricks within the Azure cloud environment.

- Analytics and Reporting : Support development and optimization of Power BI and Tableau dashboards, datasets, and reporting solutions that deliver actionable business insights.

- Cloud Data Platform Support : Collaborate with senior engineers to support Azure-based analytics architecture, data pipelines, integrations, and reporting environments.

- Data Transformation and ETL/ELT : Support pipelines and transformation logic to prepare high quality, analytics ready datasets.

- Stakeholder Collaboration : Work closely with business stakeholders, data engineers, and BI developers to understand requirements and deliver tailored analytics solutions.

- Data Governance and Optimization : Implement and uphold best practices for data documentation, access control, and performance tuning.

- User Enablement : Provide training, support, and best practice guidance to promote adoption of self-service analytics tools across the organization.

- Performs other duties as assigned.

Education and Experience :

- Bachelors degree in Data Analytics, Computer Science, Information Technology, Engineering, or a related field (masters degree preferred).

- 2 - 4 years of experience in data analytics, analytics engineering, business intelligence, or data engineering related roles.

- Proven ability to develop executive level dashboards using Power BI and/or Tableau.

- Strong experience with SQL for data querying, modeling, and transformation.

- Experience working with Databricks, Azure cloud technologies, and modern analytics engineering workflows preferred.

- Experience supporting data transformation, ETL/ELT development, and analytics-ready dataset creation using SQL and cloud-based technologies.

- Familiarity with Azure cloud services such as Azure Data Factory, Data Lake, Synapse, and Databricks preferred.

- Familiarity with scripting languages (e.g., Python, R) for data manipulation is a plus.

- Excellent communication skills to translate technical concepts to non-technical stakeholders.

- Strong problem-solving and analytical skills.

- Ability to work independently and collaboratively in a fast-paced environment.

Compliance, Ethics & Professionalism :

- Highly ethical and moral standards.

- Adherence to Compliance Standards and Policies.

- Adherence to Employee/HR Manual and Company policies/procedures.

- Sensitivity with confidential information (both business and patient information).

- Positive and professional attitude.

- Strong ability to work collaboratively with others in a team atmosphere.