Must have good experience in below tech stack oHadoop oHive oHDFS oApache Spark oScala oGCP oJenkins oAirflow oSQL
Hands on experience on Data migration and data processing on the Google Cloud stack specifically oBig Query oCloud Dataflow oCloud DataProc oCloud Storage oCloud DataPrep oCloud PubSub oCloud Composer Airflow
Must have understanding Scala
Experience designing and deploying large scale distributed data processing systems with few technologies such as PostgreSQL or equivalent databases SQL Hadoop Spark Tableau
Proven ability to define and build architecturally sound solution designs
Demonstrated ability to rapidly build relationships with key stakeholders
Experience of automated unit testing automated integration testing and a fully automated build and deployment process as part of DevOps tooling
Must have the ability to understand and develop the logical flow of applications on technical code level
Strong interpersonal skills and ability to work in a team and in global environments
Should be proactive have learning attitude adjust to work in dynamic work environments
Exposure in Enterprise Data Warehouse technologies
Exposure in a customer facing role working with enterprise clients
Experience with industry standard version control tools Git GitHub automated deployment tools Ansible Jenkins and requirement management in JIRA
Exposure to DevOps Agile Project methodology such as Scrum and Kanban
Understanding of big data modelling techniques using relational and nonrelational techniques
Experience on Debugging the Code issues and then publishing the highlighted differences to the development teamArchitects
Understanding or experience of Cloud design patterns
Valuable to have Google Cloud Certification
📌 Specialist - Data Engineering (Pune)
🏢 LTM
📍 Pune
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