Software Engineer Vice President Jpmorgan Chase & Co.
Plano, TX

Job Description

Software Engineer Vice President

Req #: 190009080

Location: Plano, TX, US

Job Category: Technology

Job Description:

As a Software Engineer Lead, you will work as a consultative team member. Solutions Architects function as Hadoop team leads for engagements to support the implementation of AtScale or other Hadoop OLAP tools( AtScale,Kyvos or other OLAP on Hadoop). Engaging from Proof of Concept (POC) stages through to implementation of complex distributed production environment, you work collaboratively to successfully deploy and implement AtScale in the production environment. You've got the technical depth to roll up your sleeves to work with Hadoop and Hive and the polish present best practices and other solutions as needed.

Responsibilities:

* Designing and architecting solutions, scoping new engagements and implementations both short and long term, and guiding the team during product implementations.
* Resolving technical issues and advising on best practices for big data, Hadoop environments and AtScale.
* Driving successful installations of the product, configuration, tuning, and performance.
* Assisting with capacity planning for the environment to scale.
* Write and produce technical documentation.
* Being meticulous about tracking things and follow-through.
* Work with customers on how to use the AtScale Design Center for modeling solutions
* Strong in Agile Development and experience with SCRUM or similar methodologies

Experience and Skills:

* BS or higher in Computer Sciences or related field
* Experience in one of Big Data Consumption OLAP tools( AtScale,Kyvos or other OLAP on Hadoop).
* Being meticulous about tracking things and follow-through.
* Work with customers on how to use the AtScale Design Center for modeling solutions
* BI Experience a must (Tableau, Cognos, Qlik, BO, SSAS)
* Java, Scala, Python, Shell Scripting a plus
* 6+ years of Professional Services (customer facing) experience architecting large scale storage, data center and /or globally distributed solutions
* Experience in Hadoop related tools and technologies is a must (HDFS and/or MapReduce, HBase, Hive, Spark, Impala)
* Java, Scala, Python, Shell Scripting a plus
* Ability to understand big data use-cases and recommend standard design patterns commonly used in Hadoop-based deployments
* Familiarity with data warehousing concepts, especially OLAP
* Familiarity with semantic layers and creating dimensional models.
* Knowledge of complex data pipelines and data transformation

Our Consumer & Community Banking Group depends on innovators like you to serve nearly 66 million consumers and over 4 million small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.

* BS or higher in Computer Sciences or related field
* Experience in one of Big Data Consumption OLAP tools( AtScale,Kyvos or other OLAP on Hadoop).
* Being meticulous about tracking things and follow-through.
* Work with customers on how to use the AtScale Design Center for modeling solutions
* BI Experience a must (Tableau, Cognos, Qlik, BO, SSAS)
* Java, Scala, Python, Shell Scripting a plus
* 6+ years of Professional Services (customer facing) experience architecting large scale storage, data center and /or globally distributed solutions
* Experience in Hadoop related tools and technologies is a must (HDFS and/or MapReduce, HBase, Hive, Spark, Impala)
* Java, Scala, Python, Shell Scripting a plus
* Ability to understand big data use-cases and recommend standard design patterns commonly used in Hadoop-based deployments
* Familiarity with data warehousing concepts, especially OLAP
* Familiarity with semantic layers and creating dimensional models.
* Knowledge of complex data pipelines and data transformation
* Consumption out of cloud and snowflake experience
*