Key Skills

Python | SQL | Data Lake | ETL | Azure | GCP | Power BI | Tableau | ELT | Databricks | Data Modeling | Data Warehousing | Excel | PySpark | Spark | Delta Lake

Roles & Responsibilities

• Analysing large retail datasets across sales, inventory, pricing, promotions and customer behaviour.

• Supporting data pipelines.

• Delivering actionable business insights.

Ideal Candidate

• Strong hands-on Python experience for data processing, transformation, automation and analysis.

• Strong SQL skills, including complex queries, joins, aggregations and data validation.

• Solid understanding of Data Lake architecture, ingestion, storage and processing workflows.

• Hands-on experience with ETL/ELT pipelines, data integration and transformation.

• Experience with Azure or GCP data services.

• Understanding of or experience with Databricks and distributed data processing.

• Knowledge of data modeling, data warehousing and Lakehouse architecture.

• Experience with Power BI, Tableau or Excel for reporting.

• Strong analytical, documentation and stakeholder communication skills.

• Candidates should hold a bachelor’s degree in Computer Science, IT, Engineering or a related field.