Sr. Python Developer with Kubernete.

Candidate should have:
• Excellent interpersonal skills; strong desire to move projects forward and be proactive. Seeks opportunities to learn and improve
• Strong communication skills and Good knowledge of query optimization and performance tuning.
• Strong understanding of Bigdata technologies like HIVE, HBASE, HDFS, and any cloud storage like Blob storage or S3 or Azure cloud storage.
• experience in Kubernetes implementation
•5+ years of hands-on experience implementing Kubernetes, Python, BigData, Pyspark, Spark SQL, and knowledge on SparkR.
• Experience with CI/CD, Agile tools, DevOps, Splunk, REST API, Source control, and versioning tools: Preferred
• Experience in developing products using MapR, HBase, Spark, Kafka, Microservices, Pig, Oozie, Flume, Sqoop, HIVE, HBASE, HDFS, and any cloud storage like Blob storage, S3, Azure cloud storage.
• Knowledge of any cloud technology like Azure, Kubernetes, IaaS and PaaS Components, Docker, Containers, Storage, Server.
• Azure certification will be a plus
Candidate should be able to:
•analyze big data and provide technical expertise and recommendations to improve current existing systems.
• Build high-volume real-time data processing applications with an understanding of integrations tools to SQL, Big Query, Bigtable, Mongo DB.
• Involve in finding, evaluating, and deploying new Big Data technologies and tools.
• Design solutions and architecting applications for the Cloud (High availability, Fault-tolerant, Elastic, Secure), Dataflow/Dataproc
• Analyze, Design, Development using Data Warehouse & Business Intelligence solutions, Enterprise Data Warehouse