Data Engineer – AEP Competency

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 processinganalytics 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