DE&A - Core - Cloud Data Engineering - Snowflake Data Engineering

We are seeking a highly motivated Data Engineer to design, build, and maintain scalable data platforms and pipelines that enable analytics, reporting, machine learning, and AI-driven business solutions. The ideal candidate will have expertise in data integration, cloud technologies, data warehousing, and modern data engineering practices, with a strong focus on data quality, performance, and reliability.

The Data Engineer will work closely with business stakeholders, data architects, analysts, data scientists, and application teams to deliver trusted and scalable data solutions.

Data Pipeline Development

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build and optimize batch and real-time data ingestion frameworks.
• Integrate data from multiple sources, including databases, APIs, SaaS applications, and third-party systems.
• Ensure data consistency, quality, and reliability across platforms.

Data Platform Engineering

• Develop and support enterprise Data Lake, Data Warehouse, and Lakehouse architectures.
• Implement scalable data solutions on cloud platforms.
• Design data models to support reporting, analytics, and AI/ML use cases.
• Optimize data storage, processing, and query performance.

Data Quality & Governance

• Establish data validation, cleansing, and monitoring processes.
• Implement data governance, lineage, cataloging, and metadata management practices.
• Ensure compliance with security, privacy, and regulatory requirements.
• Support audit and data quality initiatives.

Performance Optimization

• Monitor and tune data pipelines and databases for performance and scalability.
• Identify and resolve data bottlenecks and processing issues.
• Optimize SQL queries and large-scale data transformations.

Collaboration & Stakeholder Engagement

• Collaborate with Data Architects to implement enterprise data solutions.
• Work closely with BI developers, analysts, and data scientists to support analytical needs.
• Participate in requirements gathering, solution design, and technical reviews.
• Provide production support and troubleshooting for critical data platforms.

DevOps & Automation

• Implement CI/CD pipelines for data engineering solutions.
• Automate deployment, monitoring, and operational processes.
• Support infrastructure-as-code and cloud automation initiatives.

Education

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.