Data Engineer – AEP Competency

Data Engineer – AEP Comptency
Position Summary
Experienced software engineer utilizing Big Data & Cloud technologies to program for
custom solutions for Adobe Experience Cloud customers and frameworks. 

What you’ll do
• Develop low level design as per approved Tech Specification or equivalent 
inputs provided. 
• Build and deliver technology deliverables as per Tech Specifications/low level 
design or equivalent inputs.
• Build and delivery technology deliverables compliant with functional 
requirements. 
• Build and deliver technology deliverables in accordance with the best practices 
to ensure compliance with non-functional aspects like scalability, 
maintainability, performance etc. 
• Process technology deliverables through full development lifecycle. 
• Maintain and support existing solutions and technology frameworks. 
• Attend regular scrum events of equivalent and provide update on the 
deliverables. 
• Work independently with none or minimum supervision. 

Requirements
6+ years(6 year) of professional software engineering mostly focused on the following:
• Developing ETL pipelines involving big data. 
• Developing data processing\analytics applications primarily using PySpark. 
• Experience of developing applications on cloud(AWS) mostly using services 
related to storage, compute, ETL, DWH, Analytics and streaming. 
• Clear understanding and ability to implement distributed storage, processing 
and scalable applications. 
• Experience of working with SQL and NoSQL database. 
• Ability to write and analyze SQL, HQL and other query languages for NoSQL 
databases.
• Proficiency is writing disitributed & scalable data processing code using PySpark, 
Python and related libraries.
Data Engineer – AEP Comptency
• Experience of developing applications that consume the services exposed as 
ReST APIs.

Special Consideration given for
• Experience of working with Container-orchestration systems like Kubernetes.
• Experience of working with any enterprise grade ETL tools. 
• Experience & knowledge with Adobe Experience Cloud solutions.
• Experience & knowledge with Web Analytics or Digital Marketing.
• Experience & knowledge with Google Cloud platforms.
• Experience & knowledge with Data Science, ML/AI, R or Jupyter