Job Description:
Work Flexibility: Hybrid
What you will do:
* Assist in extracting, transforming, and loading (ETL) ERP and operational data into a unified data platform.
* Support data integration and transformation activities using Databricks (PySpark/SQL).
* Help in designing and developing Power BI dashboards for cross-divisional analytics.
* Write and optimize SQL queries and data pipelines for performance and scalability.
* Support creation and maintenance of data documentation, including data dictionaries, process flows, and metadata tracking.
* Assist in implementing data quality checks, validation scripts, and documentation of data issues.
* Learn and contribute to CI/CD processes for analytics workflows and dashboards.
* Work with the team to use Git for version control and collaborative code management.
* Participate in team discussions on data architecture, automation, and dashboard enhancement opportunities.
What you will need:
Required Skills:
* Pursuing or recently completed Bachelor's / master's degree in computer science, Engineering, Data Analytics, Statistics, or a related field.
* Basic understanding of SQL, Python, and data visualization tools (preferably Power BI).
* Familiarity with data engineering concepts and cloud platforms (Azure, Databricks experience is a plus).
* Strong analytical and problem-solving mindset.
* Good communication skills and ability to work collaboratively in a team setting.
Preferred Skill:
* Exposure to Azure Cloud.
* Experience using version control tools (Git).
* Understanding of Database, data modeling and data quality principles.
Travel Percentage: None
| Source: | Company website |
| Posted on: | 10 Dec 2025 (verified 14 Dec 2025) |
| Type of offer: | Internship |
| Industry: | Health Care |
| Languages: | English |