6+ years of professional software engineering mostly focused on the following:
Knowledge on AEP is a must.r
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 databases.
Ability to write and analyze SQL, HQL, and other query languages for NoSQL databases.
Proficiency in writing distributed and scalable data processing code using PySpark, Python, and related libraries.
Experience of developing applications that consume the services exposed as REST APIs.
Experience of working with container orchestration systems like Kubernetes.
Experience of working with any enterprise-grade ETL tools.
Experience and knowledge with Adobe Experience Cloud solutions.
Experience and knowledge with Web Analytics or Digital Marketing.
Experience and knowledge with Google Cloud platforms.
Experience and knowledge with Data Science.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time