Urgent GCP Data Engineering Needed
Budget: ₹750 – ₹1,250 INR
5 years of overall IT experience with more than 3+ years of experience in Data Engineering related technologies.
Must have understanding Python / Scala / Java and related commonly used packages specially with GCP.
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
Experience designing and deploying large scale distributed data processing systems with 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 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. Good to have Google Cloud Certification.
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 non-relational techniques
Coordination between Onsite and Offshore
Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects.
Understanding or experience of Cloud design patterns
Must have understanding Python / Scala / Java and related commonly used packages specially with GCP.
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
Experience designing and deploying large scale distributed data processing systems with 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 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. Good to have Google Cloud Certification.
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 non-relational techniques
Coordination between Onsite and Offshore
Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects.
Understanding or experience of Cloud design patterns
Related categories:
Business, Accounting, Human Resources & Legal
Python
Hadoop
Google Cloud Platform
BigQuery