Data Engineer

Design and Build Data Solutions

• Design, develop, and maintain scalable batch and near real-time data pipelines using SQL and Python.
• Build, optimize, and support data ingestion, transformation, and orchestration processes in Snowflake and AWS.
• Develop reusable data assets, curated datasets, and data models that support analytics, reporting, operational workflows, and AI solutions.
• Create and maintain ETL/ELT frameworks to integrate data from multiple source systems.
• Ensure data solutions are scalable, reliable, secure, and cost-effective.

Cloud Data Engineering

• Leverage AWS services such as S3, Lambda, Glue, ECS, and other cloud-native technologies to enable enterprise data processing and storage.
• Support cloud data warehouse and data lake architectures.
• Monitor, tune, and optimize data workloads to improve performance, reliability, and cost efficiency.
• Understand data quality, governance, lineage, and observability capabilities across data products and platforms.

AI Enabled Engineering Productivity

• Leverage AI powered development tools and coding assistants to improve engineering productivity, accelerate software delivery, and enhance code quality.
• Utilize generative AI capabilities to support code generation, documentation creation, testing, troubleshooting, and data pipeline development.
• Identify opportunities to automate manual engineering processes through AI-enabled workflows and tooling.
• Evaluate and adopt emerging AI technologies and best practices while adhering to enterprise security, governance, and responsible AI standards.

DevOps & Engineering Excellence

• Utilize GitLab for source control, CI/CD pipelines, automated testing, code reviews, and deployment automation.
• Implement DevOps best practices to improve delivery speed, quality, reliability, and operational support.
• Participate in production support, incident management, root cause analysis, and continuous improvement activities.
• Develop and maintain technical documentation, standards, and reusable engineering components.

Agile Delivery & Collaboration

• Participate in Agile Scrum ceremonies including sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives.
• Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
• Contribute to architecture, data modeling, and design discussions.