Senior Ab Initio & Big Data Engineer

Capgemini; Chicago (IL); On-site; USD 101,000 - 120,000; Full time

Job summary

Capgemini in Chicago seeks a senior big data engineer to design and implement data-driven solutions for the commercial platform. You will translate business requirements into functional and technical specifications, and ensure application quality and performance.

You will pair with data engineers to develop analytic applications using Hadoop, NoSQL and in-memory data grids, participate in agile ceremonies, code reviews, and project planning.

Qualifications

• Minimum 5 years' experience working with and developing big data solutions.
• Hands-on experience on writing shell scripts, complex sql queries, Hadoop commands, and Git
• Programming experience in at least two of the following languages: Scala, Java or Python

Responsibilities

• Participate in the agile development process
• Develop functional and technical specifications from business requirements for the commercial platform
• Ensure application quality and adherence to performance requirements
• Help create project estimates and plans. Represent engineering team in project meetings and solution discussions
• Participate code review process
• Work with team members to achieve business results in a fast paced and quickly changing environment
• Pair up with data engineers to develop cutting edge Analytic applications leveraging Big Data technologies: Hadoop, NoSQL, and In-memory Data Grids

Skills

Big data

Shell scripting

SQL

Git

Scala

Java

Python

Hadoop

NoSQL

In-memory data grids

Tools

GDE

Co>Operating System

Control Center

Metadata Hub

Enterprise MetaEnvironment

Acquire>It

Express>It

Conduct>It

Data Quality Environment

Query>It

Job description

Capgemini in Chicago seeks a senior big data engineer to design and implement data-driven solutions for the commercial platform. You will translate business requirements into functional and technical specifications, and ensure application quality and performance.

You will pair with data engineers to develop analytic applications using Hadoop, NoSQL and in-memory data grids, participate in agile ceremonies, code reviews, and project planning.