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Python and Database Developer, Assistant Vice PresidentCiti • United States
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Python and Database Developer, Assistant Vice President

Citi
  • US
    United States
  • US
    United States
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À propos

Python and Database Developer, Assistant Vice President
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview
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. Responsibilities and Duties: 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 SQLAlchemy 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 OpenShift, 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. Required Skills and Qualifications: 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 NumPy. 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 SQLAlchemy 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. DevOps Practices: Experience working in a Continuous Integration and Continuous Delivery environment and familiarity with tools like Jenkins, TeamCity, SonarQube, OpenShift, 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 and technologies to improve development efficiency and product quality. Contribute to the continuous improvement of development processes and practices. Education: Bachelor's degree in Computer Science, Software Engineering, or a related field. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
  • United States

Compétences linguistiques

  • English
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