Senior Python Engineer

Citigroup, Inc.
Irving, TX, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$113,840 - $170,760
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Amazon S3 Apache HTTP Server Microsoft Azure Big Data Unix Computer Programming Databases Continuous Integration Data Dictionary
+47 more
Information Engineering Data Warehousing Software Debugging Distributed Systems Github Apache Hadoop Hardware Virtualization Apache Hive Python (Programming Language) MongoDB NoSQL Open Data Protocol Oracle (Applications) Open Web Application Security Performance Tuning Software Architecture Role-Based Access Control Microsoft Copilot Secure Coding Shell Script Simple Data Format Software Engineering Virtualization Technology Parquet Scripting Google Cloud Data Classification Bitbucket Pipelines Apache Spark Software Security Data Strategy Git Event Driven Architecture Pytest Containerization Kubernetes Deployment Automation Apache Kafka Bitbucket Data Management Claude Google Gemini Restful APIs GPT Docker Jenkins Microservices

Job description

Seeking an Application Development Lead with deep knowledge and hands-on experience with the Starburst Data Federation and Virtualization platform for a key initiative in the organization’s Data Strategy., * Serve as the primary technical interface between downstream analytical consumers and upstream data source owners.

  • Lead the end-to-end technical onboarding of new data catalogs in Starburst using native Starburst connectors (Hive/Iceberg, Oracle, S3).
  • Establish operational guidelines with resource and query limits to prevent federated queries from causing performance degradation on critical transactional databases.
  • Partner with upstream data stewards to ensure accuracy of business glossaries, data dictionaries, lineage mappings, and data classification tags.
  • Implement and govern centralized authorization policies using Role-Based Access Control (RBAC) and Row-Level Filters in Apache Ranger.
  • Define data onboarding standards for Hive/Iceberg table formats, including partitioning schemes, sorting keys, file formats (Parquet/ORC), and statistics collection strategies.
  • Validate and tune pushdown capabilities (predicate pushdown, projection pushdown, join pushdown) for newly onboarded data sources to ensure query federation performance.
  • Conduct capacity forecasting, analyze query cost efficiency, and implement optimization strategies such as materialization to maximize cluster throughput.
  • Partner closely with enterprise technology enablement teams, data architects, and domain engineers to design, build, and publish standardized, reusable Data Products using Starburst and open data formats.
  • Integrate data products with enterprise data catalogs, governance marketplaces, and BI consumption tools, ensuring end-to-end discoverability, automated lineage, and governed access.

Requirements

Software Engineering, Python Programming/Scripting Language, Software Development, Hardware Virtualization, Analysis Skills, Customer/Client Research, Onboarding, Oracle, Amazon Simple Storage Service (S3), Operations Guidelines, * 2+ years of hands-on experience with the Starburst Data Federation and Virtualization platform.

  • Deep understanding of Trino architecture, Apache Ranger policies, Starburst Data Products, and the Iceberg table format.
  • 6+ years of hands-on experience in Application Development.
  • Strong understanding of software architecture principles and distributed system design (Microservices, Event-Driven Architecture).
  • Extensive experience with relational (Oracle) and NoSQL databases (MongoDB), including advanced SQL.
  • Experience with Big Data technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
  • Proven expertise in designing, developing, and securing RESTful APIs and integration patterns.
  • Hands-on experience with CI/CD systems (Jenkins, GitHub Actions, Bitbucket Pipelines) for automated deployment.
  • Highly experienced with Unix-based operating systems and shell scripting.
  • Strong background in cloud platforms (AWS, Azure, GCP), including containerization (Docker) and contributing to Kubernetes orchestration.
  • Advanced troubleshooting, debugging, and performance optimization for distributed systems.
  • Proficiency in automated testing frameworks (Pytest, unittest) and TDD methodologies.
  • Solid understanding of secure coding practices and application security principles (OWASP Top 10).
  • Expertise in Git (Bitbucket, GitHub) for advanced branching and pull request workflows.
  • Proven ability to lead and mentor a global data engineering and platform operations team across multiple time zones.
  • Practical experience with AI tools (Copilot, Devin, Claude/Gemini/GPT) for development workflows., * Deep understanding and practical experience with Agile/Scrum methodologies.
  • Exceptional ability to manage priorities and tasks effectively.
  • Strong analytical, logical, systems thinking, and critical analysis skills.
  • Excellent written and verbal communication for diverse audiences.
  • Ability to work independently, take ownership, and collaborate effectively in global teams.
  • Polyglot programming exposure (e.g., Java).
  • Relevant cloud or industry Certifications.
  • Experience with banking domains (Finance, Forecasting, Treasury).

Education:

  • Bachelor’s degree/University degree or equivalent experience
  • Master’s degree preferred

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