***** Must have experience in Kubernetes **************
The primary objective of the project that these folks will be deployed to will be to capture data from 150 Different Data Types out of 1000+ Devices Types, Performing Modeling activities on it & move it to Azure Data Lake.
• Sr. Developer position with must have experience in Kubernetes implementation
• 8+ Years of total IT experience with 5 years of hands-on experience implementing Kubernetes, Python, BigData, Pyspark, Spark SQL and knowledge on SparkR.
• Strong understanding on Bigdata technologies like HIVE, HBASE, HDFS and any cloud storages like Blob storage or S3 or Azure cloud storage.
• Knowledge on any cloud technology like Azure, Kubernetes, IaaS and PaaS Components, Docker, Containers, Storage, Server.
• Experience on developing products using MapR, HBase, Spark, Kafka, Microservices, Pig, Oozie, Flume, Sqoop, HIVE, HBASE, HDFS and any cloud storages like Blob storage, S3, Azure cloud storage.
• Analysis, Design, Development using Data Warehouse & Business Intelligence solutions, Enterprise Data Warehouse
• Responsible to analyse big data and provide technical expertise and recommendations to improve current existing systems.
• Involved in finding, evaluating and deploying new Big Data technologies and tools.
• Build high-volume real-time data processing applications with understanding on integrations tools to SQL , Big Query, Bigtable, Mongo DB.
• Designing solutions and architecting applications for the Cloud (High availability, Fault tolerant, Elastic, Secure), Dataflow/Dataproc
• Experience with CI/CD, Agile tools, DevOps, Splunk, REST API, Source control and versioning tools: Preferred
• Excellent interpersonal skills; strong desire to move projects forward and be proactive. Seeks opportunities to learn and improve
• Strong communication skills and Good knowledge on query optimization and performance tuning.
• Azure certification will be a plus
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