Description

Job Description

Mandatory Skills

Must have good experience in below tech stack:

• Hadoop
• Hive
• HDFS
• Apache Spark
• Scala
• GCP
• Jenkins
• Airflow
• SQL

Good to have hands-on experience on Data migration and data processing on the Google Cloud stack specifically:

• Big Query
• Cloud Dataflow
• Cloud DataProc
• Cloud Storage
• Cloud DataPrep
• Cloud PubSub
• Cloud 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 to 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 team Architects.
• Understanding or experience of Cloud design patterns.
• Good to have Google Cloud Certification

Key Skills

Education

Any Graduate