Data Engineer Sr.

Data Engineer Sr.

19 jul
|
J.P. Morgan
|
Buenos Aires C.F.

19 jul

J.P. Morgan

Buenos Aires C.F.

Job Description JPMorgan Chase and Co. is a leading global financial services firm, established over 200 years ago. We are the leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. Inside the firm we are an ever evolving landscape of data infrastructure and data technologies to mine diamonds out of our coal mines. GTI Applied AI mission is to provide business value by solving complex, big scale and high impact problems. The team applies AI to solve open ended problems that align state of the art AI solutions with enterprise scale challenges. In doing so, the team build software systems, AI models,





technological process and intelligent frameworks that minimize the technological risk, increase operational efficiency and increase the investment efficacy in general. In this particular instance, we are looking for a Senior Data Engineer to join the team whose mission is to combine modern engineering practices, hybrid cloud architectures with technological business acumen to solve serve the technological portfolio of solutions. We are searching for a data engineer who is very enthusiastic about data to focus on building structured high:quality data solutions which we use to evolve our products and data pipelines to bring experiences to our millions of global users across the firm. The ideal person gets excited to hear words like Yottabytes, Spark and Parallel Processing. As a Data Engineer, you will be responsible for building data pipelines, tools and frameworks that enable data scientists, software engineers, product managers and executives to deliver value through products that have AI and ML at its core. The role offers a high exposure to cutting edge technologies as hybrid cloud architectures, streaming methodologies and petabytes of data to process in time and manner. What youll do Build, design and architect new data related products and systems Work closely with top:level data scientists to implement and productize scalable data models Build large scale data processing systems Work with state:of:the:art data processing frameworks, technologies, and platforms Explore new ways of producing, processing, and analyzing data in order to gain insights into both our users and our product features. Improve data quality through testing, tooling and continuously evaluating performance Work in a collaborative and multi:disciplinary team of software engineers, data analysts, data scientists, and decision:makers, such as product owners and product managers to build solutions and gain novel insights Work closely with key stakeholders Act as the bridge between our backend and analysts by working on data cataloguing/management and build/maintain crucial data pipelines. Work in multi:functional agile teams with end:to:end responsibility for product development and delivery within your mission. What you know BS or MS degree in STEM field or equivalent experience/knowledge Strong understanding of computer science fundamentals (data structures, algorithms, optimization) and Software Engineering (OOP, design, architecture, etc) Experience in software development using Java, Scala, Go or Python Solid knowledge of SQL, database design and query optimization Experience building ETL processes and APIs Extensive designing and developing software with a proven track record on SDLC work and best development practices Exceptional communication skills, customer focus and necessary expertise in formal and informal testing techniques as well as quality measurement Basic knowledge of statistics and Data Science process, tools and techniques Nice to have Continuous integration tools Experience in the development of micro:services and distributed systems Experience with container tools Knowledge in web development (HTML, CSS, Javascript) and web frameworks (ReactJS) Unix/Linux and shell scripting experiences Who you are You dont like leaving quest

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