Lead Python and Database Developer

Python and Database Developer

We are seeking a skilled and motivated Python and Database Developer to join our dynamic technology team. The ideal candidate will possess strong programming skills in Python, a solid understanding of database systems, and the ability to design, develop, and maintain efficient and scalable applications.

• Participate in design and development of data pipelines for ingestion, transformation, and loading of data from various sources into our data warehouse/lake, ensuring seamless data flow and accessibility.
• Develop data models that support business requirements and analytical needs.
• Optimize data models for query performance and data accessibility.
• Write optimized and maintainable SQL queries and leverage SQL Alchemy for efficient database interaction, ensuring high performance and data accuracy.
• Implement robust data quality checks and monitoring systems to ensure data integrity and accuracy, proactively identifying and resolving data issues.
• Contribute to the design and implementation of data governance policies and procedures, ensuring compliance with regulatory requirements and internal standards.
• Continuously research and implement new technologies and best practices to improve the efficiency, scalability, and resilience of our data platform.
• Take ownership of the deployment and monitoring of data pipelines and related infrastructure on cloud platforms such as Open Shift, ECS, or Kubernetes, ensuring optimal performance and reliability.
• Occasionally work non-standard shifts, including nights and/or weekends, and/or have on-call responsibilities to support critical data operations.

• 6+ years of hands‑on experience in a Data Engineering role.
• Ability to conceptualize, develop, and lead the execution of strategic AI initiatives that align with key business objectives and drive measurable value.
• Experience with data visualization tools and techniques for presenting data insights effectively.
• Familiarity with agile development methodologies and experience working in agile teams.
• Strong proficiency in Python (version 3.6+), with experience in Python packaging and shared libraries such as Pandas and Num Py.
• Experience implementing REST APIs in Python using microframeworks like Flask.
• Extensive experience working with relational databases and No
  
  SQL databases.
• Hands‑on skills in writing complex SQL and optimizing queries for performance.
• Experience with workflow management tools like Airflow (experience with PySpark or PyFlink is a major plus).
• Solid understanding of data warehousing concepts and experience working with large datasets, including data modeling and ETL processes.
• Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools such as Jenkins, Team City, Sonar Qube, Open Shift, ECS, or Kubernetes.
• Proficient in industry‑standard best practices such as design patterns, coding standards, coding modularity, and prototyping.
• Design, develop, and maintain database schemas and models.
• Write and optimize SQL queries for data retrieval, manipulation, and reporting.
• Communicate technical concepts and solutions effectively to both technical and non‑technical audiences.
• Provide technical support and troubleshooting for production systems.
• Stay up to date with the latest trends and technologies in Python development, database systems, and data engineering.
• Evaluate and recommend new tools and technologies to improve development efficiency and product quality.
• Contribute to the continuous improvement of development processes and practices.
• Guide and mentor junior developers, fostering a collaborative team environment and promoting professional growth.
• Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non‑technical audiences.

Bachelor's degree in computer science, software engineering, or a related field.