Lift and Shift ETL pipelines from Legacy to New environments; Monitor data pipelines, identify bottlenecks, optimize data processing and storage for performance and cost-effectiveness; Analyze sources and build Cloud Data Warehouse and Data Lake solution; Collaborate effectively with cross-functional teams including data scientists, analysts, software engineers, and business stakeholders. Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain; Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference; GCP services relevant to data engineering; Snowflake; OpenSearch, Elasticsearch; Jupyter for analyze data; Bitbucket, Bamboo; Terraform.