• 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 .

Pay rate will not be below any applicable local minimum wage rates.