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Data Engineer
Arting Digital
posted 6d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Requirements:
6+ years(6 year) of professional software engineering mostlyfocused on the following:
- Developing ETL pipelines involving big data.
- Developing data processinganalytics applicationsprimarily using PySpark.
- Experience of developing applications on cloud(AWS) mostlyusing services
related to storage, compute, ETL, DWH, Analytics andstreaming.
- Clear understanding and ability to implement distributedstorage, processing and scalable applications.
- Experience of working with SQL and NoSQL database.
- Ability to write and analyze SQL, HQL and other querylanguages for NoSQL databases.
- Proficiency is writing disitributed scalable dataprocessing code using PySpark,
Python and related libraries. Data Engineer AEP Comptency
- Experience of developing applications that consume theservices exposed as ReST APIs.
Special Consideration given for:
- Experience of working with Container-orchestration systemslike Kubernetes.
- Experience of working with any enterprise grade ETL tools.
- Experience knowledge with Adobe Experience Cloudsolutions.
- Experience knowledge with Web Analytics or DigitalMarketing.
- Experience knowledge with Google Cloud platforms.
- Experience knowledge with Data Science, ML/AI, R orJupyter.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Saturday
No travel
Day Shift
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