Python Software Architect

3 weeks ago

Toronto, Ontario, Canada Cititec Talent Limited Full time
Job Title: Python Software Architect

We are seeking a highly skilled Python Software Architect to join our team at Cititec Talent Limited. As a key member of our data engineering team, you will be responsible for designing and developing robust data pipelines using Python to process and integrate large volumes of fundamental data.

Responsibilities:

- Develop and implement robust data pipelines using Python to process and integrate large volumes of fundamental data.

- Collaborate with cross-functional teams and key stakeholders to ensure data pipelines align with business requirements and data quality standards.

- Ensure scalability and reliability of the data infrastructure to meet the demands of high-quality, real-time data.

Requirements:

- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

- Proficiency in Python for data processing and pipeline development, with a strong understanding of libraries like Pandas and SQLAlchemy.

- Experience with SQL and relational databases (e.g., PostgreSQL) for data storage, manipulation, and retrieval.

- Familiarity with ETL processes and tools, and experience building ETL pipelines to handle high volumes of data.

- Knowledge of cloud development environments, preferably AWS, for handling data ingestion and storage at scale.

- Familiarity with containerization technologies (e.g., Docker, Kubernetes) to support scalable and flexible deployment.

- Experience with Apache Airflow for orchestrating complex data workflows.

- Data transformation skills, with a solid understanding of data quality, cleaning, and validation techniques.

Preferred Experience:

- Prior experience working with fundamental data in the financial sector, such as corporate earnings data, macroeconomic indicators, and other non-price-based financial data.

- Familiarity with Front Office environments, ideally within finance, where high-quality data drives decision-making.

- Knowledge of data architecture best practices and experience in building scalable, maintainable data pipelines.

Location: Toronto, Canada

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