Description

You will design, build, and maintain scalable data infrastructure to support business intelligence, analytics, and data science initiatives.

Responsibilities

• Design, develop, and maintain efficient data pipelines to extract, transform, and load data from various sources.
• Build and maintain data models within the Enterprise Data Warehouse to ensure data is organized and accessible.
• Translate business reporting requirements into technical specifications for data solutions.
• Implement ETL/ELT solutions and integrate data from external partner applications and internal systems.
• Execute integration testing for data pipelines and manage error handling and recovery mechanisms.

Required Skills

• 10+ years of experience in Data Engineering and designing complex data environments.
• Hands-on experience with Snowflake data warehousing and optimization techniques.
• Expertise in enterprise data warehouse (EDW) design, data modeling, and schema design.
• Proficiency with Matillion and Fivetran HVR for building data pipelines.
• Experience integrating data via APIs, EDI, and SFTP.
• Proven track record with multiple BI or EDW lifecycle implementations.
• Experience implementing data quality checks, validation processes, and data governance.
• Knowledge of data security measures, including encryption, access controls, and GDPR.
• Experience working within Agile/Scrum development methodologies.

Preferred Skills

• Proficiency in SQL, Python, and Bash.
• Experience with AWS, Azure, or Google Cloud, and containerization using Docker or Kubernetes.
• Experience with Power BI, Snowflake Marketplace, and external partner integrations such as eCommerce or WMS.

Key Skills

Education

Any Gradute