Data Engineer

Required Qualifications Technical Skills Overall 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 - Big Query 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 Job Types: Full-time, Contract Pay: $45.00 - $48.00 per hour Expected hours: 40 per week Benefits: Health insurance Schedule: 8 hour shift Monday to Friday Work Location: Hybrid remote in Dallas, TX 75201