Python and Database Developer, Assistant Vice President

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. This role involves working on a variety of projects, including data processing pipelines, web applications, and database integrations.

• Data Engineering Leadership:
  Participate in design and development of data pipelines for ingestion, transformation, and loading of data from various sources (databases, APIs, streaming platforms) 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.
• Database Optimization:
  Write optimized and maintainable SQL queries and leverage SQL Alchemy for efficient database interaction, ensuring high performance and data accuracy.
• Data Quality Assurance:
  Implement robust data quality checks and monitoring systems to ensure data integrity and accuracy, proactively identifying and resolving data issues.
• Data Governance Contribution:
  Contribute to the design and implementation of data governance policies and procedures, ensuring compliance with regulatory requirements and internal standards.
• Technology Innovation:
  Continuously research and implement new technologies and best practices to improve the efficiency, scalability, and resilience of our data platform.
• Cloud Deployment & Monitoring:
  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.
• Operational Excellence:
  Ability to occasionally work a non-standard shift, including nights and/or weekends, and/or have on-call responsibilities to support critical data operations.

• Experience:
  
  6+ years of hands‑on experience in a Data Engineering role.
• Data Visualization:
  Experience with data visualization tools and techniques for presenting data insights effectively.
• Agile Methodologies:
  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 like Pandas and Num Py.
• API Development:
  Experience implementing REST APIs in Python using microframeworks like Flask.
• Extensive experience working with relational databases, writing complex SQL, and optimizing queries for performance.
• Proven expertise with SQL Alchemy or similar ORM libraries for efficient database interaction.
• Experience with workflow management tools like Airflow (experience with PySpark or PyFlink is a major plus).
• Data Warehousing Knowledge:
  Solid understanding of data warehousing concepts and experience working with large datasets, including data modeling and ETL processes.
• Leadership & Mentorship:
  Ability to guide and mentor junior developers, fostering a collaborative team environment and promoting professional growth.
• Communication
  
  Skills:
  
  Strong communication skills, both written and verbal, with the ability to explain complex technical concepts to both technical and non‑technical audiences.
• Dev Ops Practices:
  Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, Team City, Sonar Qube, Open Shift, ECS, or Kubernetes.
• Software Engineering Principles:
  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…