Adobe Data Engineer - Python/SQL/ETL
Haparz is hiring a Senior Data Engineer to manage enterprise data pipelines and Adobe ecosystem integrations in a hybrid model. The role focuses on building scalable data pipelines, integrating APIs, and managing customer data platform structures. Applicants require strong proficiency in Python, SQL, and specific experience with AEP Data Prep and connector architecture. This position involves close collaboration with cross-functional marketing and engineering teams to support enterprise-scale data architecture.
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Experience
6+ years
Function
Engineering
Work mode
Hybrid, India
Company
Tier 2
What you will work on
Haparz is hiring a Senior Data Engineer to manage enterprise data pipelines and Adobe ecosystem integrations in a hybrid model. The role focuses on building scalable data pipelines, integrating APIs, and managing customer data platform structures. Applicants require strong proficiency in Python, SQL, and specific experience with AEP Data Prep and connector architecture. This position involves close collaboration with cross-functional marketing and engineering teams to support enterprise-scale data architecture.
TAL's take
Clear role definition and specific tech stack requirements in a mid-tier company.
Very clear role expectations regarding the Adobe ecosystem and data engineering responsibilities.
Must haves
- Strong expertise in SQL, Python, ETL/ELT pipelines, and API integrations
- Hands-on experience with Adobe Experience Platform (AEP) Data Prep
- Experience working with source connectors and destination connectors
- Understanding of JSON, REST APIs, and server-side integrations
- Experience handling CDP, CRM, customer profile, or MDM data structures
Tools and skills
Nice to have: sfdc, cloud-based data platforms.
About the company
unfamiliar company, default mid-tier.