Python Developer

job summary:

• Our client's associates are innovators and problem-solvers. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. The Global Risk Analytics team within Risk and Finance Technology consists of extremely talented engineers, who develop industry leading financial management platforms that provide solutions to provide regulatory reporting globally.
• We are looking for looking for a talented and motivated Python Developer with experience/exposure in data technologies (Spark, Hadoop, Data Virtualization) to help develop a distributed analytics platform that works with various data sources including Apache Hive and Oracle. This is a great opportunity for a developer to be part of a team developing/testing a complex platform with special attention to high availability, low latency, data protection and security.
• Build and support components within the major platform that the team is developing
• Review and support users in terms of best practices with keen eye towards performance and stability optimizations
• Become subject matter expert on code deployed on our platform and provide Big Data consulting support to other developers
• Write reusable and extendable code and become a key contributor of the core platform
• Challenge yourself and your peers to always improve

• Python

• 1-3+ years of relevant application and/or framework development experience using Python as the primary programming language.
• Experience in Hadoop, Spark SQL (last 2 years working in Hadoop environments )
• Experience in databases (Teradata, Oracle and SQL Server)
• Expertise in shell scripting and automating the data movement (ETL) processes
• SQL Tuning and providing guidance to larger set of users
• Working knowledge of CI/CD pipelines and automation
• Self-motivated with a work ethic and a passion for learning and problem solving

• Bachelor's Degree in Computer Science or Math

• We are looking for looking for a talented and motivated Python Developer with experience/exposure in data technologies (Spark, Hadoop, Data Virtualization) to help develop a distributed analytics platform that works with various data sources including Apache Hive and Oracle. This is a great opportunity for a developer to be part of a team developing/testing a complex platform with special attention to high availability, low latency, data protection and security.

• Experience level: Experienced
• Minimum 10 years of experience
• Education: Bachelors