Job Simplification

The announced job offer is made public by the firm: Experis and it was included in jobs list the date of: 2022-10-22 in the website greenenergyjobsonline.com.

It is announced that they have a job offer at the category of Engineering and the jobs location is in the state of Georgia at the city Atlanta, in the country US - at this current ZipCode: 30301

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Job Overview

Experis - A Manpower Company is engaged with one of the Software Company based out in Chicago, IL (100% Remote Role). We are looking to help our client to identify Data Engineering Manager. Great company to work with and exciting opportunity to grow both technical and leadership skills.

Summary

As a Manager, Development - Data Engineering, you will lead a team of Data Engineers within our company's technologies development space. You will possess a depth of personal experience in data warehousing technical components, infrastructure, and integration. You will be responsible for high level design/architecture. You are comfortable leading a team of talented Data Engineers and building relationships with internal business partners and external stakeholders.

Key Responsibilities

Day to day management of the Data Engineering team.

Manage data engineering needs, assess talent and staffing levels of team, and make recommendations to Director, Engineering regarding changes.

Serve as primary point of contact for recruiting, selection and onboarding new Data Engineers.

Recommend to business stakeholders to support decision-making.

Design and develop quality process and procedures to ensure effective availability, definition, and integrity of data assets.

Utilize Big Data technologies in AWS.

Required Skills and Experience

Bachelor's degree in Computer Science, Information Systems, or other relevant field of study preferred.

5+ years of big data experience with multiple programming languages and technologies.

3+ years as a technical Lead or Manager of a data or software engineering team.

Strong API development background.

Skilled ability to rapidly ingest, transform, engineer, and visualize data, both for ad hoc and product-level (e.g., automated) data and analytics solutions.

Experience with large-scale, AWS big data methods such as EC2, S3, EMR, Kinesis, DynamoDB, and Redshift.

Ability to work efficiently under Unix/Linux environment, having experience with source code management systems like GIT.

Strong knowledge with programming methodologies (version control, testing, QA) and agile development methodologies.