Job Summary
• Strong experience in Data Engineering and designing scalable data solutions on Google Cloud Platform.
• Ability to design end-to-end architecture for batch and real-time data-processing solutions.
• Advanced hands-on experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, GCS, and Cloud Run.
• Strong expertise in Python, SQL, Apache Beam, PySpark, and performance optimization.
• Experience in designing and implementing complex ETL/ELT pipelines and data models using dbt.
• Strong understanding of BigQuery partitioning, clustering, cost optimization, and query-performance tuning.
• Experience with GKE, Kubernetes namespaces, Docker, and container-based application deployment.
• Strong experience with Cloud Monitoring, Cloud Logging, alerting, observability, and production monitoring.
• Experience with Git-based development, branching strategies, pull-request reviews, CI/CD pipelines, Terraform, and Harness or similar deployment tools.
• Ability to lead technical discussions, perform design and code reviews, and provide technical guidance to team members.
• Experience in effort estimation, solution documentation, stakeholder communication, and production incident management.
• Strong troubleshooting skills with ownership of root-cause analysis, defect resolution, and preventive actions.
• Ability to coordinate with business, architecture, infrastructure, and application teams for end-to-end delivery
Key Responsibilities
• Strong experience in Data Engineering and designing scalable data solutions on Google Cloud Platform.
• Ability to design end-to-end architecture for batch and real-time data-processing solutions.
• Advanced hands-on experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, GCS, and Cloud Run.
• Strong expertise in Python, SQL, Apache Beam, PySpark, and performance optimization.
• Experience in designing and implementing complex ETL/ELT pipelines and data models using dbt.
• Strong understanding of BigQuery partitioning, clustering, cost optimization, and query-performance tuning.
• Experience with GKE, Kubernetes namespaces, Docker, and container-based application deployment.
• Strong experience with Cloud Monitoring, Cloud Logging, alerting, observability, and production monitoring.
• Experience with Git-based development, branching strategies, pull-request reviews, CI/CD pipelines, Terraform, and Harness or similar deployment tools.
• Ability to lead technical discussions, perform design and code reviews, and provide technical guidance to team members.
• Experience in effort estimation, solution documentation, stakeholder communication, and production incident management.
• Strong troubleshooting skills with ownership of root-cause analysis, defect resolution, and preventive actions.
• Ability to coordinate with business, architecture, infrastructure, and application teams for end-to-end delivery