Senior Cloud Architect - Senior Manager

16 - 20 years

20 - 25 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
  • Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 16- 20 years]
  • Need to understand current Future state enterprise architecture.
  • Need to contribute in various technical streams during implementation of the project.
  • Provide product and design level technical best practices
  • Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
  • Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
  • Recommend design alternatives for data ingestion, processing and provisioning layers
  • Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
  • Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

  • Architect in designing highly scalable solutions Azure, AWS and GCP.
  • Strong understanding familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components
  • Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms
  • Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming
  • Hands on experience with major components like cloud ETLs,Spark, Databricks
  • Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
  • Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
  • Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks.
  • Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
  • Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
  • Good knowledge in apache Kafka Apache Flume
  • Experience in Enterprise grade solution implementations.
  • Experience in performance bench marking enterprise applications
  • Experience in Data security [on the move, at rest]
  • Strong UNIX operating system concepts and shell scripting knowledge

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Professional Services

London

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