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Job Description
About the job Attention please!
- Only short NP-less than 30 days accepted, kindly pay attention to this to save your efforts, thank you for understanding Responsibilities: A highly skilled and motivated Data Engineer/Data Scientist with extensive experience in Python, pandas, SQL, and data analysis. Adept mapping data into a new data model, with tested code. Thrives in independent work environments, with a proven ability to deep dive into complex datasets and deliver impactful results.
Mandatory Skills: Pandas, PostgreSQL, Python Testing Mandatory Skills Description: Over 5 years of experience as a Data Engineer
- Proven experience bridging business needs and technical development, translating requirements into actionable solutions.
- Previous background in Technical Business Analysis is preferred and is a strong advantage.
- Expertise in Python (pandas), SQL, and Excel for exploratory analysis, reporting, and process optimization.
- Skilled in back-testing and validating solutions to ensure audit compliance and operational readiness.
- Proficient in mapping data into new data models with robust, tested code.
- Strong communication skills with the ability to produce clear documentation and stakeholder-facing presentations.
Technical
Skills
- Programming: Python, pandas, NumPy, SQL
- Data Management: PostgreSQL, SQLite, CSV
- Testing: Unit Testing, Integration Testing, CI/CD Pipelines
- Tools: Git, Jupyter Notebooks Nice-to-Have Skills Description:
- Python programming.
- Familiarity with other programming languages and frameworks.
- Knowledge of software design patterns and architectural principles.
- Exposure to other cloud platforms (AWS, GCP).
- Experience with Docker, Kubernetes, and containerised deployments.
- Relevant certifications (cloud, programming, Agile).
- Background in static reference data or payments systems.
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