Senior Lead Software Engineer- Data Engineer, Java/PythonJ.P. Morgan • Glasgow, Scotland, United Kingdom
Senior Lead Software Engineer- Data Engineer, Java/Python
J.P. Morgan
- Glasgow, Scotland, United Kingdom
- Glasgow, Scotland, United Kingdom
À propos
As a Senior Lead Software Engineer at JP Morgan Chase within the Corporate Risk Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure and high-quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function-wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Influences peers and project decision-makers to consider the use and application of leading-edge technologies
Adds to the team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and applied experience.
Strong proficiency in Data Engineering, Data Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language(s) eg. Java, Python , C/C++
Advanced Working knowledge of Databases/Data Lake/Data Mesh and Data governance.
Experience developing, debugging, and maintaining code in a large corporate environment, with expertise in both application and data platforms, using modern programming and database querying languages.
Experience in large scale data processing, using micro services, API design, Kafka , Redis, MemCached , Observability ( Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
Ability to tackle design and functionality problems independently with little to no oversight
Practical cloud native experience (AWS, Azure, GCP).
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Preferred qualifications, capabilities, and skills
Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., data engineering , cloud, artificial intelligence, machine learning etc.)
Hands-on experience with Spark/ PySpark and other big data processing technologies
Experience with modern data technologies such as Databricks or Snowflake.
Knowledge of the financial services industry and their IT systems
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Compétences linguistiques
- English
Avis aux utilisateurs
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