Senior Data Engineer

5+ years of professional experience in a data engineering role. Expert-level proficiency in SQL and extensive experience with Oracle databases. Hands-on experience with core Google Cloud Platform (GCP) data services (e.g., BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer). Strong programming skills in Python for data processing and automation. In-depth understanding of data warehousing concepts, data modeling, and ETL/ELT design principles. Excellent problem-solving skills and the ability to work independently in a remote setting while collaborating effectively with a distributed team.

Design, build, and maintain efficient and reliable ETL/ELT pipelines to integrate data from on-premise Oracle databases into Google Cloud Platform (GCP). Develop scalable data models and schemas in GCP data stores like BigQuery. Implement data quality checks, monitoring, and alerting. Collaborate with data architects, analysts, and business stakeholders. Optimize and troubleshoot data pipelines for performance, scalability, and cost-effectiveness. Write clean, maintainable, and well-tested code for data transformations and pipeline orchestration. Contribute to the establishment of data engineering best practices, standards, and governance policies.