Senior Lead Software Engineer - Data Lake

Glasgow City
Full time
Posted
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JP Morgan
Banking, investment & finance
10,001+ employees
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Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Technology, Chief Data and Analytics Office Development Team, 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.

Our Data Lake will provide a common lakehouse, that will ingest, transform and store our data sets, that will be used not only to train our AI systems, but also for inference across multiple use cases. The processing and persistence of data will be managed within the public cloud, and will utilise Big Data frameworks such as Databricks and Spark.

Job responsibilities

    • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors

    • Creates complex and scalable coding frameworks using appropriate software design frameworks

    • Develops secure and high quality production code, and reviews and debugs code written by the team

    • Drives decisions that influence the product design, application functionality, and technical operations and processes

    • 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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and advanced applied experience.

  • Exposure to cloud technologies (AWS or GCP) via hands on experience or certification

  • Solid understanding of software applications and technical processes within a related technical discipline (e.g. data ingestion, data storage, data serving, APIs, etc.).

  • Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks).

  • Hands-on practical experience delivering system design, application development, testing, and operational stability

  • Advanced in one or more programming languages, such as Java or Python

  • Ability to tackle design and functionality problems independently with little to no oversight