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We are looking for an Azure Data Engineer to join our growing team of analytics experts.
Key Responsibilities:
Responsible to Ingest data from files, streams and databases. Process the data and its storage into time series database.
Develop programs as part of data extraction, data cleaning, transformation and processing.
Develop and maintain scalable data pipelines.
Rest API's development.
Desired Profile:
Overall 3 -7 years of experience as Data Engineer.
Advanced working SQL knowledge to create complex queries.
Experience in working with Time-series Database, relational databases as well as working familiarity with a variety of databases (structured & Unstructured).
Experience in designing and implementing scalable architecture.
Good experience in doing object-oriented programming in python.
Very strong in Object Oriented Analysis and Design (OOAD).
Strong knowledge on REST APIs.
Experience working on Azure Cloud services IaaS, PaaS.
Hands on Experience in working on Microsoft Azure Services like ADLS/Blob Storage solutions, Event Hubs, Service Bus, scale sets, Load Balancers, Azure Functions, Databricks.
Hands on Experience in working on Kafka.
Knowledge on continuous integration/continuous deployment.
Experience of data migration and deployment from On-Prem to Cloud environment and vice-versa.
Individual Contributor.
Experience on Python is a plus
Nice to have skills:
Hands on experience on visualization tools like Grafana & Power BI.
Certification on any cloud platform.
Hands on experience on Docker Containers and micro services architecture using Kubernetes.
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