:

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.
- Solid 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.

📌 Predigle - Data Engineer (India)
🏢 Predigle
📍 India