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 Big Query
Soft skills
Designing developing and implementing custom software and database application capabilities with limited oversight
Excellent communication skills designrelated 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 nonfunctional requirements
Build and deploy components as part of CI/CD process
Will be responsible for endtoend 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
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