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”
What You'll Achieve.
accelerate growth through data; deliver impactful digital transformation initiatives; deliver scalable data solutions
Industry & Context.
Travel opportunities to attend industry conferences, Travel opportunities to meet clients
What They're Looking For.
Must Have
Data Engineering experience, AWS Glue, Amazon S3, Amazon Athena, AWS Step Functions, Python, PySpark, scalable data pipeline architectures, CDC patterns, data modeling, large-scale data processing, Agile environments, AI-assisted development workflows, engineering productivity tools
Nice to Have
Databricks certification, Snowflake certification, AWS certifications
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 batch processing frameworks
Build pipelines supporting data domains
Integrate external vendor data
Manage complex data transformation
Ensure data reliability
Ensure data scalability
Ensure operational excellence
Leverage AI-assisted development
How You'll Work.
Team & Collaboration
Partner with Onshore Senior Data Architect; Partner with Data Engineering Manager; Collaborate with architects; Collaborate with analysts; Collaborate with cross-functional stakeholders; Mentor junior engineers; Support junior engineers; Mentor mid-level engineers; Support mid-level engineers; Participate in architecture discussions; Participate in code reviews; Participate in technical planning sessions
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 wit
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