Python Developer

Contract Duration : 1 year

Required Qualifications

Core Experience (2+ years) :

SQL querying and data manipulation

ETL design and implementation

Nice to Have :

Experience with Databricks, Snowflake, or similar data / analytics platforms

Exposure to CI / CD pipelines and DevOps practices

Data visualization or reporting tools (e.g., Plotly)

Additional Assets :

Experience in banking or financial services, especially Capital Markets

SQL Server Integration Services (SSIS)

REST APIs or Web Services

Messaging technologies (e.g., Solace, MQ

Role Overview

We are seeking a motivated Junior Data Platform Developer to support the design, development, and maintenance of data pipelines within a modern analytics environment. This is a contract opportunity for someone early in their career who is eager to build hands‑on experience working with large‑scale data platforms and enterprise systems.

Key Responsibilities

Design, build, and enhance ETL workflows using Python and SQL within a Databricks environment

Support the ongoing development and maintenance of a centralized data platform used for analytics and reporting

Collaborate with multiple technology teams to integrate new data sources and streamline data ingestion processes

Help define and follow data engineering standards, best practices, and reusable patterns

Assist with code deployments, unit testing, and release activities to ensure timely and stable deliveries

Partner with Business Analysts during functional testing and support QA teams during regression testing

Participate in design discussions and contribute to technical documentation

Support continuous improvement initiatives across data pipelines and platform processes

What Success Looks Like

Taking ownership of assigned development tasks from requirements through deployment

Translating functional requirements into clear, maintainable technical solutions

Delivering high‑quality code that aligns with established standards and timelines

Communicating effectively with stakeholders during design reviews and implementation phases

Contributing to platform enhancements that improve reliability, scalability, and performance

Note : We use AI tools to : obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.

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