Data Engineer

• 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 forExperience 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 .