JPMorgan Python Lead Software Engineer 

United Kingdom, Scotland 

758440475

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience in Data Management, Data Integration, Data Quality, Data Monitoring and Analytics experience.
• Experience leading teams of technologists and managing global stakeholders
• Experience in data engineering with proficiency in Python and PySpark.
• Experience with building Cloud native applications using cloud platforms such as AWS, Azure, GCP and experience in leveraging cloud services for data storage, processing and analytics.
• Hands-on experience in data integration and handling projects that involves processing huge volume of data for reporting models.
• Hands-on experience in database system (both SQL and NOSQL) and create/maintain scalable database load process with framing up Complex SQL Queries and ensuring optimal data storage and retrieval.
• Expertise in working with agile projects to automated testing / dev ops environments.
• Knowledge of big data technologies such Apache Spark or Pyspark
• Hands-on experience with containerization technologies like Docker and Kubernetes (EKS).
• Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives.