5 of 5 boto Jobs in London

Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure, EKS, and More ❯

Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure, EKS, and More ❯

Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python 3, including pandas, GeoPandas, boto3, Pydantic, and Data Version Control (DVC). Familiar with Django 4 and core API development. Strong hands-on experience with AWS cloud infrastructure, EKS, and More ❯

software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid Git practices, TDD … collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git hosting More ❯

software engineering roles • Bachelor’s degree or equivalent in Computer Science, Data Science, or related technical field • Strong Python programming (especially pandas, GeoPandas, Pydantic, boto3) • Experience with geospatial data and data engineering for ML applications • Cloud proficiency (preferably AWS) and experience with containerized environments (Docker, EKS) • Solid Git practices, TDD … collaborate with cross-functional teams • Experience working with financial services or asset management domains preferred Technical Stack: Data Pipeline Stack: Python 3, pandas, GeoPandas, boto3, Pydantic, Data Version Control (DVC) 2 Core API Stack: Python 3, Django 4 Infrastructure: AWS, EKS, Docker, ADO (for CI/CD pipelines, git hosting More ❯