Data Engineer
JPMorgan Chase & Co
Buenos Aires, C, AR
hace 3 días

Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you’ll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions.

You’ll work in a stable, resilient and secure operating environment where you and the products you deliver will thrive.

As a Data Engineer will be significantly involved in extraction, manipulation and maintenance of data. Data Engineer works with the data analytics team in order to understand data requirements to build data lakes.

Data Engineer involves to build data pipelines and optimizing data flow that will enable faster, better, data-informed decision-making within the business.

Core responsibilities include but not limited to :

  • Data Engineer will work as part of an Agile scrum team analyzing, planning,
  • designing, developing, testing, debugging, optimizing, improving, documenting,

    and deploying complex software applications.

  • Participate in architecture and design discussions with the technical team and
  • interface with other teams to create efficient and consistent solutions (UI / API).

  • Excellent understanding of SDLC processes, requirements / issue
  • management, defect tracking, source control, build automation, test

    automation and release management.

  • Build and administer the Solution Data Lake & Data Warehouse & implement
  • data pipelines and ELT / ETL processes

  • Create data collection jobs to ingest and merge new data with existing
  • structures

  • Recommend alternate approaches, analyze impacts, and provide sizing
  • estimates Collaborate with other cross platform team members to build

    effective integrations

  • Create and implement data integration and data modeling standards
  • Analyze business requirements, logical data models, and system functions to
  • best create and utilize data architecture to enable business analytics

    Qualifications :

  • Minimum 5+ year experience with big data / NoSQL (Hive / Hbase /
  • pyspark / Spark / Cassandra / elasticsearch).

  • Framework technologies : REST Standards, JavaScript Frameworks, Angular
  • 2 and above, HTML5 / CSS, JQuery, ES6 Standards.

  • Experience managing data lake and data warehouse environments
  • Experience scripting languages like Python or R
  • Experience using system and software security and entitlements such as SSO,
  • windows, Kerberos, LDAP, Windows AD

  • Knowledge of a data lake ecosystem, such as Hadoop, Spark
  • Analytical thinking and structured approach to problem solving
  • Additional Technical Skills that will be a plus :

  • Understanding of ServiceNow , HPSM (incident, problem data) and ITSM (change data) is a big plus
  • API Testing unit, functional, performance, capacity, and latency analysis.
  • Experience creating APIs and data services
  • When you work at JPMorgan Chase & Co., you’re not just working at a global financial institution. You’re an integral part of one of the world’s biggest tech companies.

    In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development.

    Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world.

    At JPMorgan Chase & Co. we value the unique skills of every employee, and we’re building a technology organization that thrives on diversity.

    We encourage professional growth and career development, and offer competitive benefits and compensation. If you’re looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you.

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