Senior Data Engineer

Responsibilities

• Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions)
• Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures
• Support the design and implementation of data models aligned with business and analytics needs
• Ensure data quality, reliability, and performance across pipelines and datasets
• Collaborate with cross-functional teams to align technical solutions with business requirements
• Apply best practices in data engineering, including modular design, reusability, and governance
• Leverage AI-assisted development tools to improve productivity and code quality
• Proactively identify risks, bottlenecks, and optimization opportunities across data workflows

Requirements

• 4+ years of experience in Data Engineering
• Experience with AWS ecosystem tools (Glue, Athena, EMR, S3/Lambda)
• Experience with infrastructure-as-code (CloudFormation, Terraform, or CDK)
• Proficiency with dbt
• Strong hands-on experience with Python and PySpark
• Deep understanding of data pipeline architecture and design patterns
• Experience implementing and scaling CDC patterns
• Strong experience in data modeling for analytics and reporting
• Experience leading initiatives or teams in data engineering environments
• Solid understanding of data quality, validation frameworks, and governance practices

Preferred Qualifications

• Hands-on experience in Snowflake-based ETL pipelines
• Familiarity with AI-assisted development tools

Benefits

• Certifications in AWS, Databricks, and Snowflake
• Access to AI learning paths and Udemy Business
• English lessons
• Travel opportunities to industry conferences
• Career development plans and mentorship programs
• Company-provided equipment
• Flexible working options

About the Company

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.