Description

You will design and build end-to-end ETL/ELT pipelines to ingest, transform, and load data from multiple sources.

Responsibilities

• Design and develop end-to-end ETL/ELT pipelines for ingesting and transforming data from diverse sources.
• Build and maintain cloud-based data pipelines on Azure, including orchestration, automation, and monitoring.
• Implement data ingestion pipelines for large-scale structured and unstructured data transmission.
• Design data warehouse solutions and data models for analytical use cases.
• Develop data aggregation pipelines to feed Power BI and other reporting platforms.
• Participate in Agile SCRUM ceremonies, including refining business requirements and adding acceptance criteria to user stories.
• Perform peer code reviews and maintain scalable, documented code.

Required Skills

• 8+ years of experience in Data Engineering or ETL processes.
• Strong SQL skills for data transformation, validation, and analytical processing.
• Experience building and maintaining Azure-based data pipelines.
• Proficiency with ETL/ELT methodologies and data modeling.
• Working knowledge of Power BI for downstream analytics support.
• Experience working within Agile/SCRUM frameworks.
• Ability to manage both structured and unstructured data workflows.
• Knowledge of retail and eCommerce industry data challenges.

Preferred Skills

• Demonstrated expertise in specialized ETL tools and methodologies.
• Exposure to AI-assisted tools for enhancing data workflows.

Key Skills

Education

Any Gradute