Senior Python Developer

About the role

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.

Responsibilities

• Lead hands-on implementation and architecture of Python frameworks for scalable, resilient, and performant applications.
• Develop solutions adhering to architectural standards, utilizing in-depth technical and business domain knowledge.
• Design and implement agentic flows and build autonomous AI agents capable of reasoning, planning, and tool utilization.
• Enforce industry-standard SDLC best practices and contribute to code quality through comprehensive code reviews.
• Collaborate effectively with cross-functional teams (Risk, Quants, FO, DevOps, Production Support) to ensure seamless project delivery.
• Drive development for Stress Testing and Regulatory Risk projects, specifically within the Market Risk domain.
• Manage project technical aspects, including planning, governance, and taking ownership of initiatives from conception to completion.
• Deliver high-quality solutions independently within a globally matrixed environment and under tight deadlines.

Requirements

• Bachelor’s degree/University degree or equivalent experience
• Core Python & Data Engineering:
• Expert-level programming skills in Python and PySpark, specifically for developing Spark applications.
• Experience with PySpark for data processing.
• Familiarity with data manipulation libraries (Pandas, NumPy).
• Scripting for automation and data orchestration.
• Complex query writing, including subqueries, window functions, and performance tuning.
• Strong proficiency in Spark Core, Spark SQL, Spark Streaming.
• Beneficial: Experience with Spark GraphX.
• Experience with Spark performance optimization techniques (e.g., caching, partitioning, shuffle optimizations, memory management).
• Big Data Ecosystem:
• In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms.
• Experience with HDFS commands and administration.
• Solid understanding of YARN resource management and job scheduling.
• Fundamental understanding of the MapReduce programming paradigm (even if primary development is in Spark/Flink).
• Knowledge of Zookeeper for distributed coordination services.
• Experience with Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
• Database & Data Modeling:
• Experience with HBase (for real-time access to large datasets within Hadoop).
• Experience with NoSQL databases such as Cassandra, MongoDB, or similar.
• Familiarity with RDBMS concepts and SQL for data integration.
• Understanding of dimensional modeling, fact and dimension tables, and star/snowflake schemas.

Qualifications

• Bachelor’s degree/University degree or equivalent experience

Skills

• Expert-level programming skills in Python and PySpark, specifically for developing Spark applications.
• Familiarity with data manipulation libraries (Pandas, NumPy).
• Scripting for automation and data orchestration.
• Complex query writing, including subqueries, window functions, and performance tuning.
• Strong proficiency in Spark Core, Spark SQL, Spark Streaming.
• Beneficial: Experience with Spark GraphX.
• Experience with Spark performance optimization techniques (e.g., caching, partitioning, shuffle optimizations, memory management).
• In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms.
• Experience with HDFS commands and administration.
• Solid understanding of YARN resource management and job scheduling.
• Knowledge of Zookeeper for distributed coordination services.
• Experience with Big Data Technologies (Apache Spark, Hadoop, Kafka) and data warehousing.
• Understanding of dimensional modeling, fact and dimension tables, and star/snowflake schemas.

Benefits

• Motion Recruitment Partners (MRP) is an Equal Opportunity Employer.
• All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available.
• Employment is subject to the successful completion of a pre-employment screening.
• Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy.
• Applicants need to make their needs known in advance.