Blend360
AI services
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Blend360. Skills: Data Engineering, AWS, ETL/ELT pipelines, Data pipelines. Design ETL/ELT pipelines. Build ETL/ELT pipelines”
Industry & Context.
Data quality; Data reliability; Scalability; Operational excellence
What They're Looking For.
Must Have
5+ years experience Data Engineering, Advanced proficiency Python, Advanced proficiency PySpark, Experience designing scalable data pipeline architectures, Hands-on experience implementing CDC patterns, Solid understanding data modeling, Solid understanding large-scale data processing, Experience leading technical initiatives, Experience mentoring engineering teams, Experience working within Agile environments, Excellent written English, Excellent verbal English
Nice to Have
Familiarity AI-assisted development workflows, Familiarity engineering productivity tools
What You'll Do.
Design ETL/ELT pipelines
Build ETL/ELT pipelines
Maintain ETL/ELT pipelines
Develop data ingestion workflows
Optimize data ingestion workflows
Develop transformation workflows
Optimize transformation workflows
Develop enrichment workflows
Optimize enrichment workflows
Implement CDC patterns
Maintain CDC patterns
Implement batch processing frameworks
Maintain batch processing frameworks
Build pipelines supporting customer data
Build pipelines supporting behavioral data
Build pipelines supporting engagement data
Build pipelines supporting third-party data
Integrate external vendor data
Manage complex data transformation logic
Collaborate with architects
Collaborate with analysts
Collaborate with stakeholders
Deliver scalable data solutions
Mentor junior engineers
Support junior engineers
Mentor mid-level engineers
Support mid-level engineers
Ensure data reliability
Ensure data scalability
Ensure operational excellence
Participate architecture discussions
Participate code reviews
Participate technical planning sessions
Leverage AI-assisted development tools
Leverage modern engineering best practices
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Architecture discussions; Code reviews; Technical planning sessions
Communication Scope
Written English; Verbal English
Process & Methodology
Agile environments
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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