Sr. Data Engineer

 

Main characteristics

Location

Chicago, Illinois

Company

Expert In Recruitment Solutions

Industry

Engineering

Job summary

Local candidates to one of the cities mentioned below. No relocaters.

Hybrid Expected to be onsite at the office 3 days per week

San Francisco
USA
350 Bush Street
California
94104

Arlington
USA
1515 North Courthouse Road
Virginia
22201

Westminster
USA
11030 Circle Point Road
Colorado
80020

Chicago
USA
35 West Wacker Drive
Illinois
60601

Boston
USA
40 Water Street
Massachusetts
02109

Birmingham
USA
205 Hamilton Row
Michigan
48009

Houston
USA
1111 Bagby Street
Texas
77002

Atlanta
USA
384 Northyards Boulevard NW
Georgia
30313

Miami
USA
2911 Grand Avenue
Florida
33133

New York
USA
375 Hudson Street
New York
10014

Minneapolis
USA
500 North 3rd Street
Minnesota
55401

Los Angeles
USA
13031 West Jefferson Boulevard
California
90094

Seattle
USA
US WA Seattle 1448 NW Market St
Washington
98107

Dallas/Irving
USA
6021 Connection Drive
Texas
75039

Irvine
USA
5301 California Ave
Irvine
92617

Your Impact:

You will function as part of a world class Data Analytics team working directly with retail clients in NA & Canada. The role will focus on supporting data collection, reporting and experimentation practices of the client to drive incremental project initiatives through thought leadership.

Must Have Skills:

Leads initiatives focused on analytics implementation, customization, and automation of data collection processes. Develops cohesive measurement strategies and planning that ensures data collection aligns to client's priorities. Recommends processes for integrating platforms ensuring free flow data between systems.

Have solid analytics implementation experience across the life cycle and digital platforms (including web, responsive and native apps) using Adobe/Google Analytics especially for big retail client's having complex eco-systems (multiple sites/apps, 100s of custom tags, multiple implementation techniques for main site/syndicate sites etc.)

Hands-on experience working with Adobe Data Collection and integration with AEP using WebSDK.

Strong experience working with schemas, EDDL (Event driven data layer) and Adobe Data Collection.

Must be hands-on and work as part of technical analytics team for data framework implementations using (Adobe/Google Analytics, Adobe Target, Google Optimize, Adobe DTM (Adobe Launch), Adobe Mobile SDK)

Design, develop and implement technical tagging requirements for company web, mobile and app platforms. Be able to create SDR and convert it to exact script code to be added on page/app screens or user actions on page.

Develop and perform code modifications, testing and deployment where appropriate

Enhance requirements for digital data layers (event based like ACDL) within company Tag Management solution (Adobe Data Collection, Ensighten, Tealium,)

Ability to write custom scripting, JavaScript, jquery or other coding languages in web environments and tag management tools to accommodate custom tracking requirements

Create and maintain Adobe/Google Analytics JavaScript tags and plugins. Ability to troubleshoot scripting issues on the digital platforms using browser's console and other tools is a must

Participate in clients' QA and deployment processes (Agile methodology, etc.). Hands-on experience with one or more web analytics tools such as Omniture SiteCatalyst and debugging tools like Charles, HTTPWatch or WASP

Thorough knowledge of Analytics Workspace, reporting and admin console in Adobe Analytics. Must be comfortable with advanced segmentation capabilities within Adobe/Google Analytics.

Good to Have Skills:

Experience with implementing AEP (Adobe Experience Platform)

Experience with implementing CJA (Customer Journey Analytics)

Experience with implementing GA4 (Google Analytics 4)

Develop, design, and implement scripting for A/B optimization/experimentation (Adobe Target, Monetate, Optimizely)

Configuring and setting up BI dashboards (Tableau / Looker / Power BI)

Experience with Google Big Query and creating data ingestion pipelines from multiple online and offline sources

Experience working with Adobe IO (using APIs to connect to Adobe suite of products programmatically like Adobe Analytics 2.0) through Web UI's (like Swagger) or API clients like Postman

Requirements

Bachelor's Degree in Computer Science, Information Systems or related course of study required or equivalent work experience. Related Master's Degree a plus

5+ years working in analytics, including experience working with tag management systems implementing advertising and tracking pixels, 3+ years digital analytics development experience, 1+ year managing a team of analysts / developers

Excellent understanding of JavaScript, HTML, jQuery, JSON, and DOM manipulation, strong tag management skills, excellent understanding of cloud-based information systems, solid debugging and troubleshooting skills, strong understanding of marketing technology (Martech) landscape, experience leveraging APIs for reporting automation. Foundational Knowledge of Google Big Query, Node.js, CSS, Python, Domo, machine learning concepts.