Java-Python Lead Developer
Citi
On-site
Program de lucru normal
8 - 15 ani de experiență
Full Time
Mississauga, Canada
Responsabilități
Fixed Income (FI) is the primary source of capital for corporations, governments, and nonprofits, providing liquidity and innovative solutions globally across the credit, municipal, and securitized markets.
FI’s activities include origination, structuring, investing, lending, and market making and it offers a variety of products including, but not limited to, corporate bonds, emerging markets bonds, asset backed securities, mortgage backed securities, collateralized loan obligations (CLOs), municipal securities, agency securities, short term interest rate products, loans, letters of credit, and derivative instruments, such as interest rate swaps, total return swaps, rate locks, and credit default swaps.
We're the Fixed Income Data Platform Team and the backbone of Fixed Income mission, providing the low latency, high concurrency, scalability, and availability needed to power our groundbreaking solutions.
Our Data Platform Engineering team is on the cutting edge. We research, adapt, and deploy the latest open-source data platforms to meet Citi's unique needs. We're a collaborative group that thrives on technical challenges and the satisfaction of building highly performant systems.
We're seeking a passionate and highly skilled Lead Java Developer to join our talented team of engineers in building and maintaining Citi's next-generation data platform. If you're a natural leader with a deep understanding of Java, distributed systems, and a passion for pushing the boundaries of Big Data technology, we want to hear from you.
Responsibilities:
Technical Leadership: Provide technical leadership and mentorship to a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.Mentoring and guiding developers, providing technical support, and fostering a collaborative team environment.
Architecture & Design: Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components that meet Citi's evolving business needs. Making architectural decisions for both Java and Python-based applications, ensuring scalability, maintainability, and performance.
Open Source: Expertise: Stay abreast of emerging open-source data technologies and evaluate their suitability for integration into Citi's platform.
Performance Optimization: Continuously identify and implement performance optimizations across the data platform to ensure optimal efficiency and responsiveness.
Collaboration & Communication: Partner closely with stakeholders across engineering, data science, and business teams to understand requirements and translate them into robust technical solutions.
Delivery & Execution: Drive the timely and high-quality delivery of data platform projects, adhering to agile methodologies and best practices.
This role typically involves guiding a team of developers, overseeing projects, making architectural decisions, and ensuring quality across both Java and Python-based applications. They also need to be proficient in cloud technologies, Agile practices, and potentially NoSQL databases.
Qualifications:
Java Expertise: 8+ years of hands-on experience developing high-performance Java applications (Java 11+ preferred) with a strong foundation in core Java concepts, OOP, and OOAD.
Data Engineering Fundamentals: Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink. Familiarity with event-driven architectures and experience in developing real-time, low-latency applications is essential.
Distributed Systems: Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto), Pinot or Snowflake.
Deployment & Orchestration: Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS.
Leadership & Communication: Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams.
Problem Solving & Analytical Skills: Excellent problem-solving skills and a data-driven approach to decision-making.
Python Knowledge - We would prefer anyone who also has exposure to Python potentially Django or Flask. As part of Platform, our engineers are expected to have a combination of Java and Python in their skillset.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
- Cloud Computing: Experience with cloud platforms like AWS, GCP, or Azure.
- Agile Methodologies: Understanding and experience with Agile and Scrum development practices.
- Database Knowledge: Familiarity with relational databases (SQL) and potentially NoSQL databases like DynamoDB.
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Job Family Group:
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