Software Engineer [multiple Positions Available]

JPMorgan Chase JPMorgan Chase · Banking · Boston, MA +1 · Commercial & Investment Bank

Software Engineer at JPMorgan Chase responsible for designing, developing, and implementing software solutions, focusing on data architectures, ETL, and application modules within the full Software Development Lifecycle (SDLC).

What you'd actually do

  1. Design, develop and implement software solutions.
  2. Solve business problems through innovation and engineering practices.
  3. Involved in all aspects of the Software Development Lifecycle (SDLC) including analyzing requirements, incorporating architectural standards into application design specifications, documenting application specifications, translating technical requirements into programmed application modules, and developing or enhancing software application modules.
  4. Identify or troubleshoot application code- related issues.
  5. Take active role in code reviews to ensure solutions are aligned to pre-defined architectural specifications.

Skills

Required

  • Building scalable and high-performance data lakes, data warehouses, or big data solutions leveraging cloud platforms
  • Designing and developing high throughput applications using Java, Spring Boot, and multithreading for large scale data processing
  • Designing and developing ETL functionalities using technologies including Java, Python, Scala, and Spark
  • Working with automation & workflow orchestration tools including Autosys and Airflow
  • Integrating complex distributed applications using messaging technologies such as Kafka, MQ, or TIBCO and file movements via FTP or S3
  • Creating and consuming data in different formats including Avro, JSON, XML, CSV, and Parquet
  • Utilizing SQL features for extracting large scale data with efficiency and high performance
  • Creating data models, data structures, and data designs for effective storage and retrieval of largescale data on to database platforms RDMS such as Oracle or Postgres, and NoSQL columnar databases such as HBase or DynamoDB
  • Developing software on a Microservices environment that deploys as a REST API
  • Building software using CI/CD tools including Bitbucket, Git, Jenkins, Maven, and Gradle and deploying on a Virtual server and the AWS cloud platform
  • Following Agile methodologies and Scrum
  • Working on all phases of SDLC including requirements analysis, design and development, unit testing, integration testing, deploying applications to production, and supporting applications postproduction
  • Providing quick diagnosis to application problems leveraging log analytics tools including Splunk and application performance monitoring tools such as Dynatrace
  • Working on UI technologies to create rich, intuitive, and responsive screens
  • Developing and maintaining dynamic and interactive dashboards using Tableau or Qlik Sense leveraging advanced visualization, ETL automation, and ODBC connectors
  • Building and deploying applications on AWS Cloud, virtual servers, and Linux or Unix operating systems
  • Creating automation solutions utilizing scripting and programming using shell scripting, Python, and Perl
  • Communicating designs and solutions with global teams and influencing them to achieve business results

What the JD emphasized

  • Building scalable and high-performance data lakes, data warehouses, or big data solutions leveraging cloud platforms
  • Designing and developing high throughput applications using Java, Spring Boot, and multithreading for large scale data processing
  • Designing and developing ETL functionalities using technologies including Java, Python, Scala, and Spark
  • Working with automation & workflow orchestration tools including Autosys and Airflow
  • Integrating complex distributed applications using messaging technologies such as Kafka, MQ, or TIBCO and file movements via FTP or S3
  • Creating and consuming data in different formats including Avro, JSON, XML, CSV, and Parquet
  • Utilizing SQL features for extracting large scale data with efficiency and high performance
  • Creating data models, data structures, and data designs for effective storage and retrieval of largescale data on to database platforms RDMS such as Oracle or Postgres, and NoSQL columnar databases such as HBase or DynamoDB
  • Developing software on a Microservices environment that deploys as a REST API
  • Building software using CI/CD tools including Bitbucket, Git, Jenkins, Maven, and Gradle and deploying on a Virtual server and the AWS cloud platform
  • Following Agile methodologies and Scrum
  • Working on all phases of SDLC including requirements analysis, design and development, unit testing, integration testing, deploying applications to production, and supporting applications postproduction
  • Providing quick diagnosis to application problems leveraging log analytics tools including Splunk and application performance monitoring tools such as Dynatrace
  • Working on UI technologies to create rich, intuitive, and responsive screens
  • Developing and maintaining dynamic and interactive dashboards using Tableau or Qlik Sense leveraging advanced visualization, ETL automation, and ODBC connectors
  • Building and deploying applications on AWS Cloud, virtual servers, and Linux or Unix operating systems
  • Creating automation solutions utilizing scripting and programming using shell scripting, Python, and Perl
  • Communicating designs and solutions with global teams and influencing them to achieve business results