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 Bachelors / masters 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.
Required Experience:
Intern
Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongsid ... View more