Data Engineer

About

Description

The AWS Data Engineer will be responsible for developing robust data products and data warehouse solutions in on-premises and cloud environments using AWS services and related technologies. This includes building scalable data pipelines, creating data models, and ensuring data infrastructure aligns with business objectives. The role requires a dynamic and results-driven professional with experience in Python, dbt, Apache Airflow, and cloud environments, capable of enhancing operational efficiency and delivering actionable insights.

Responsibilities

• Develop and maintain a Data Lake using AWS technologies like S3 and Quicksight
• Design and implement data APIs and delivery services to support operational and analytical applications
• Participate in workflow development, coding, testing, and deployment processes
• Implement unit testing for deliverables to ensure deployment success
• Design and develop data models using dimensional and Data Vault modeling techniques
• Create scalable data pipelines for data ingestion and transformation
• Profile and analyze data sets for quality and consistency
• Deliver business value incrementally throughout development cycles
• Conduct peer reviews across teams and squads
• Technical Leadership Actively participate in communities of practice for engineering and other disciplines
• Share AWS knowledge and best practices across the organization
• Contribute to and challenge the development of architectural principles and patterns
• Compliance Ensure adherence to organizational patterns, guidelines, and standards
• Operate within project environments and contribute to continuous improvement initiatives
• Delivery Management Participate in sprint planning, backlog grooming, retrospectives, and PI planning
• Deliver iteratively and in alignment with agile methodologies

Qualifications

• Bachelor’s Degree in Computer Science, Information Systems, Big Data, or related fields
• 2–3 years of experience designing and developing data pipelines in AWS
• Expertise in building data warehouses, marts, and lakes
• Experience with dimensional and Data Vault modeling techniques
• Proficiency in Python, dbt Core, and orchestration tools like Apache Airflow
• Strong understanding of CI/CD practices and GitHub
• Experience in high-availability DataOps environments
• Preferred: AWS Data Engineer Certification
• Experience with automated data warehousing solutions
• Knowledge of advanced AWS services and features, such as Quicksight
• Experience working in agile, fast-paced, and collaborative environments

Application instructions:

• Submit your application through the company’s official job portal or career email.