Posted:11 hours ago|
Platform:
On-site
Full Time
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 withWeb AnalyticsorDigital Marketing. Experience knowledge withGoogle Cloudplatforms. Experience knowledge withData Science, ML/AI, RorJupyter.
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