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Python and Database Developer, Assistant Vice President

Job in New York, New York County, New York, 10261, USA
Listing for: Citibank (Switzerland) AG
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

## For additional information, please review .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 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.
*
* 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 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…
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