Python Backend Developer

Grow your career as a Senior Python Backend Developer with an innovative global bank in Tampa, FL. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 2-3 days onsite per week. Not open to third party employment or sponsorship

Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. Will contributes to the design, development, and delivery of scalable, high performance enterprise applications that support the company's global businesses. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you., 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.

Deep understanding of big data technologies. Must have Python backend and DevOps skills. Exceptional Python and PySpark programming skills, specifically for developing Spark applications. Strong backend database skills mandatory. Proven track of delivering high-quality solutions within complex enterprise environments. 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. 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. 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. 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.

Desired Skills & Experience Experience with Spark GraphX. AI skills are nice to have but NOT mandatory