Job Location: Noida
Roles and Responsibilities
Job Description :
– Responsible to ingest data from files, streams and databases. Process the data with Python and Pyspark and its storage into time-series database.
– Develop programs in Python as part of data extraction, data cleaning, transformation and processing.
– Develop and maintain scalable data pipelines.
– Rest API’s development.
Mandatory Skills :
– Overall 3-6 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).
– Hands-On experience on visualization tools like Grafana & Power BI.
– Experience in designing and implementing the 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 ADLSBlob Storage solutions, Event Hubs, Service Bus, scale sets, Load Balancers, Azure Functions, Databricks.
– Hands-on Experience in working on Kafka.
– Knowledge of continuous integration continuous deployment.
– Experience of data migration and deployment from On-Prem to Cloud environment and vice-versa.
– Individual Contributor.
Nice-to-Have Skills :
– Certification on any cloud platform.
– Hands-on experience on Docker Containers and microservices architecture using Kubernetes.
– Hand on experience in Golang programming.
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