Job Title - GCP Data EngineerSkill - Data Engineer, Python, Scala & GCPLocation \xe2\x80\x93 Pune & Hyderabad
Must have an understanding of Python / Scala / Java and related commonly used packages, especially with GCP.
Hands-on experience in 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.
Experience designing and deploying large-scale distributed data processing systems with a few technologies such as PostgreSQL or equivalent databases, SQL, Hadoop, Spark, Tableau
Hands-on Experience with Python-Json nested data operation.
Exposure or Knowledge of API design, REST including versioning, isolation, and micro-services.
Proven ability to define and build architecturally sound solution designs.
Demonstrated ability to rapidly build relationships with key stakeholders.
Experience with 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 the technical code level.
Good to have Google Cloud Certification.
Strong interpersonal skills and ability to work in a team and global environment.
Should be proactive, have a 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 non-relational techniques
Coordination between Onsite and Offshore
Experience in Debugging the Code issues and then publishing the highlighted differences to the development team/Architects.