Job Opportunities API

Role description: · You will design and deliver high-performance data solutions supporting complex reporting functions, as well as migrating on-premises platforms to modern cloud-based ecosystems; · You will work with large-scale financial datasets, ensuring secure, compliant, and low-latency data solutions that enable analytics and decision-making across the organization; · You will design, develop, and maintain scalable data warehouse solutions in BigQuery, including dataset architecture, schema design, and data modeling (star/snowflake); · You will design and implement a cloud-native data warehouse to replace on-premises infrastructure; · You will optimize performance through partitioning, clustering, query tuning, and workload management; · You will build data processing pipelines and workflows feeding BigQuery from multiple sources; · You will implement data quality checks, validation frameworks, and reconciliation processes; · You will work closely with product owners, analysts, to ensure solution align with the business requirements specification. Qualifications: · 5+ years of data engineering experience; · Strong SQL knowledge, preferably on Google Cloud Platform (GCP); · Experience orchestrating workflows with Cloud Composer (Apache Airflow), including DAG development, scheduling, monitoring, and dependency management; · Hands-on experience building data processing pipelines using Dataflow (batch and streaming); · Good understanding of data warehousing concepts, data flows, data feeds; · Experience using Bitbucket for Git-based source control and collaboration; · Ability to work collaboratively in a dynamic environment; · Hands-on experience with Python/PySpark for scalable distributed data processing; · Experience with Infrastructure as Code (Terraform, Ansible, Chef); · Knowledge of shell scripting; · Experience in financial services or regulated environments