About the role
NOTE : VISA SPONSORSHIP IS NOT PROVIDED
Role : Python Developer
Location: London, UK (5 Days / Week Onsite)
Type: Contract Inside IR35
Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven Note: Investment banking exp is required. Key Responsibilities Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS). SQL Database Management Write and optimize complex SQL queries. Manage relational databases and integrate with Databricks. Perform data cleansing, transformation, and aggregation for analytics. Frontend Development (React) Design and build responsive, interactive UIs using React.js. Integrate frontend components with backend APIs and Databricks datasets. Use visualization libraries (D3.js, Plotly, Recharts) for dashboards. Collaboration & DevOps Work with cross-functional teams (data scientists, product managers, UX designers). Participate in CI/CD pipelines (GitHub Actions, Azure DevOps). Document workflows and ensure compliance with coding standards.
TPBN1_UKTJ
Exp: 5 to 10 Years A Python + React + SQL + Databricks developer role blends backend data engineering with frontend application development, requiring strong coding skills in Python, React.js, SQL, and Databricks for building scalable, data-driven Note: Investment banking exp is required. Key Responsibilities Backend Development (Python) Build APIs and services using Python frameworks (Flask, FastAPI, Django). Integrate with Databricks SQL endpoints for data access. Ensure performance, scalability, and security of backend systems. Databricks & Data Engineering Develop ETL pipelines and workflows using PySpark on Databricks. Work with Delta Lake, Unity Catalog, and Databricks REST APIs. Optimize queries and pipelines for cost efficiency in cloud environments (Azure/AWS). SQL Database Management Write and optimize complex SQL queries. Manage relational databases and integrate with Databricks. Perform data cleansing, transformation, and aggregation for analytics. Frontend Development (React) Design and build responsive, interactive UIs using React.js. Integrate frontend components with backend APIs and Databricks datasets. Use visualization libraries (D3.js, Plotly, Recharts) for dashboards. Collaboration & DevOps Work with cross-functional teams (data scientists, product managers, UX designers). Participate in CI/CD pipelines (GitHub Actions, Azure DevOps). Document workflows and ensure compliance with coding standards.
TPBN1_UKTJ
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