Blend360
AI services
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Data Engineering, AWS, Python, PySpark. Design ETL/ELT pipelines. Build ETL/ELT pipelines”
Industry & Context.
Travel opportunities to attend conferences, Travel opportunities to meet clients
What They're Looking For.
Must Have
Data Engineering experience, Python, PySpark, AWS services
Nice to Have
AWS certifications, Databricks certifications, Snowflake certifications, AI learning paths, Udemy Business courses, English lessons
What You'll Do.
Design ETL/ELT pipelines
Build ETL/ELT pipelines
Maintain ETL/ELT pipelines
Develop data ingestion workflows
Optimize data ingestion workflows
Implement CDC patterns
Maintain CDC patterns
Build pipelines for data domains
Integrate external data sources
Manage data transformation logic
Ensure data reliability
Ensure operational excellence
Participate in architecture discussions
Participate in code reviews
Participate in technical planning
Leverage AI-assisted development tools
Apply modern engineering best practices
How You'll Work.
Team & Collaboration
Collaborate with architects; Collaborate with analysts; Collaborate with stakeholders; Partner with Senior Data Architect; Partner with Data Engineering Manager; Work with cross-functional stakeholders
Communication Scope
Excellent written English; Excellent verbal English
Full Job Description
[Blend360](https://www.blend360.com/?utm_source=chatgpt.com) is an AI services company helping organizations accelerate growth through data, analytics, and technology solutions. We partner with Fortune 500 companies to deliver impactful digital transformation initiatives across Data, AI, Cloud, and Customer Experience domains. At Blend, we foster a collaborative, people-first culture where innovation, continuous learning, and technical excellence are highly valued. We are seeking an experienced Senior Data Engineer to lead the design, development, and optimization of scalable cloud-based data pipelines within a modern AWS ecosystem. This role will partner closely with the Onshore Senior Data Architect and Data Engineering Manager to support enterprise data initiatives across multiple business domains. The ideal candidate combines strong hands-on engineering expertise with leadership capabilities, mentoring junior and mid-level engineers while driving best practices in pipeline architecture, data modeling, and AI-assisted software development. Key Responsibilities * Design, build, and maintain scalable ETL/ELT pipelines using AWS technologies * Develop and optimize data ingestion, transformation, and enrichment workflows * Implement and maintain CDC (Change Data Capture) patterns and batch processing frameworks * Build pipelines supporting customer, behavioral, engagement, and third-party data domains * Integrate external vendor data sources and manage complex data transformation logic * Collaborate with architects, analysts, and cross-functional stakeholders to deliver scalable data solutions * Mentor and support junior and mid-level Data Engineers * Ensure data quality, reliability, scalability, and operational excellence * Participate in architecture discussions, code reviews, and technical planning sessions * Leverage AI-assisted development tools and modern engineering best practices ## Qualifications * Strong experience in Data Engineering * Strong expertise wi
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