Description

Lead the design, development, and delivery of end-to-end data engineering projects and pipelines.

Responsibilities

• Architect and implement optimized solutions for AWS Redshift data warehouses and S3 data lakes.
• Translate functional requirements into technical specifications and guide team execution.
• Manage data feeds from ERP source systems into the central data warehouse.
• Troubleshoot production failures and resolve complex data quality issues.
• Coach, train, and manage team members throughout the project lifecycle.

Required Skills

• 6+ years of experience in data engineering, data modeling, data lakes, and data warehouses.
• Hands-on expertise with AWS services: Redshift, Lambda, Step Functions, RDS, and EventBridge.
• Strong proficiency in writing, modifying, and tuning SQL queries and stored procedures.
• Experience with Talend DI/Big Data solution design, development, and testing.
• Proven ability to manage the full lifecycle of cloud-based data projects.
• Ability to work independently on complex data sets and technical transformations.
• Bachelor's degree in Computer Science or Information Technology.

Key Skills

Education

Bachelor's degree in Computer Science