Python Developer
Why This Role Stands Out
This hybrid Python Developer role offers significant opportunities to architect and implement cutting-edge AI agentic solutions within a leading financial services firm, perfect for a mid-senior developer eager to drive impactful projects in market risk. You'll thrive by leveraging your expert Python and PySpark skills, collaborating with diverse teams, and enjoying the flexibility of a hybrid work model while contributing to critical regulatory initiatives. Apply now to elevate your career in a dynamic and reputable environment.
Quick Overview
Job Description
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.
- 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.
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy
Skills
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