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Backend GCP Data engineer

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Job Description

Job Description

Role: Backend GCP Data engineer

Location :Remote

Contract

Job Description

Key Skills :- GCP, Spanner and bigquery

Technical Skills

Over All 3-5 years of professional experience

Experience developing Data pipelines using Dataflow. Integrate with Composer/Airflow or any scheduler Components.

Build and deploy services using Gradle, Maven, Jenkins, GitHub Actions etc. as part of CI/CD process

Knowledge of Data model of OLTP & Datawarehouse.

Knowledge of ETL products and working on Structure and Unstructured data.

Experience in Bulk Loads and any Streaming load integration is a plus.

Experience working in Google Cloud Platform

GCP knowledge is preferred for onshore but any one cloud knowledge is mandatory

Experience with any Relational Database (Spanner, Oracle, PostgreSQL etc.)

Experience with Datawarehouse Databases BigQuery

Soft skills

Designing, developing, and implementing custom software and database application capabilities with limited oversight

Excellent communication skills design-related conversations, ability to build and nurture good relationships and foster an environment for collaboration

Acting as a member of the team supporting teammates and collaborating with a do what it takes attitude to ensure project and team success

Responsibilities

Be part of a team of engineers in developing elegant and high performant code

Ensure quality practices unit testing, code reviews / leading tests

Optimize application for non-functional requirements

Build and deploy components as part of CI/CD process

Will be responsible for end-to-end application delivery including coordination with required teams for production deployment

Continuously monitors application health and KPIs (Key Performance Indicators), support triage of any production issues as and when needed

Collaborate in troubleshooting complex data, features, service, platform issues and perform root cause analysis to proactively resolve product and operational issues

Be an advocate of security best practices, champion and support the importance of security within engineering

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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