data engineer

data engineer Chicago, IL

McDonald's
Full Time Chicago, IL 143868 - 97407 USD ANNUAL Today
Job description

data

Company Description


McDonald’s evolving Accelerating the Arches growth strategy puts our customers and people first, and uses our competitive advantages to strengthen our brand. We are recognized on lists like Fortune’s Most Admired Companies and Fast Company’s Most Innovative Companies.

Doubling Down on the 4Ds (Delivery, Digital, Drive Thru, and Development)
Our growth pillars emphasize the meaningful role technology plays as the leading, global omni-channel restaurant brand. Technology enables the organization through digital technology, and improving the customer, crew and employee experience each and every day.

Global Technology forging the way
Leading the digitization of our business is the Technology organization made up of intrapreneurs who build industry defining tech using the latest innovations and platforms, like AI and edge computing to deliver on the next set of cutting-edge opportunities for the business. At McDonald’s you get to solve technology innovation challenges at an incredible scale, and work across global teams who are always eager for a challenge. This provides access to exciting career paths for technologists. It’s bonus points when you get to see your family and friends use the tech you build at their favorite McD restaurant.


Job Description


We are seeking a highly motivated individual to be our Data Engineer with strong technical and communication skills for our Customer Data Products, End-to-End (E2E) integrated testing team. This role requires both business and technical expertise working with various integrated applications, Data, Product teams and Global Market partners. E2E team plays vital role to bridge the gap between McDonald’s Digital and Data systems with E2E integrated testing support to deliver required quality data to our business partners for marketing and reporting needs so this role is crucial in our Customer domain.

This role is based in Chicago, IL

Responsibilities

  • Team up with E2E team to understand existing E2E integrations with upstream and downstream applications, environments mapping, testing strategy, design, evolving scope and implement continuous improvements
  • Participate in daily scrum for day-to-day updates, understand testing needs for ongoing and upcoming initiatives
  • Capture requirements, design/architect, develop, and implement day-to-day testing automation needs for the team
  • Document artifacts for the solutions built, optimize for continuous improvements with emerging tools and technologies
  • Develop, deploy, and monitor day to day automation reports using both open source and proprietary tools/applications
  • Partner with internal Data product team/s, upstream Digital and downstream systems for E2E integration, testing, defect triage, troubleshoot and resolution
  • Identify and manage necessary infrastructure, tools and environments for the required integration, development, deployment, testing, and automation needs
  • Develop and manage automated testing workstreams, review new requirements and add test cases for Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing (CT)
  • Develop/maintain source code with Git, Code Commit and Jenkins CICD pipeline builds and deployments
  • Lead E2E team when coordinating with stakeholders from Markets, various team leads, products and identify issues/resolution in timely manner to prevent unnecessary escalations.

Qualifications
  • Bachelor’s degree or higher in Computer Engineering, Software, or relevant technology field
  • 10+ years of experience as Software Engineer, Data Engineer, or combined work experience
  • 10+ years of experience working with Java, C++, C#, Python, Node.js, Terraform, SQL and NoSQL
  • Experienced with large scale enterprise application development, deployment, integration, and testing
  • Experienced writing SQL scripts, Store Procedures and Functions on large complex data sets, Datawarehouse, ETL, reporting and analytics
  • Experienced developing shell scripts, creating batch scripts, Linux, Cron and Jenkins jobs. Use of programming languages such as Java and Python to build and optimize those automations
  • Hands on experience automating to create data in various data formats for load and performance testing
  • Development experience with Big Data processing frameworks, ETL tools, API tools, Data integrations and data pipeline automations
  • Experienced with AWS Cloud services (IAM, VPC, EC2, EMR, S3, SNS, SQS, Lambda, Glue, MSK, Kinesis, CloudWatch, KMS, Athena, DocumentDB, DynamoDB, Redshift, RDS, CodeCommit)
  • Experienced with various testing frameworks and automations such as OpenTest, Junit, JMeter, Selenium
  • Experienced with developing reporting dashboards in New Relic, Kibana, Grafana, Tableau
  • Well versed with various data generation sources such as Mobile, Web, POS, Kiosk and data format such as JSON, SOAP, Parquet, Avro, XML, CSV
  • Skilled with customer facing applications such as native app, web, multiple integration layers, databases, event transactions, log data, elastic search, message queueing, transformations, processing, and storage
  • Experienced with N-tier architecture, Client/Server, Pub/Sub and distributed micro services development
  • Thorough knowledge of customer data flow from Account registration flow to Order transactions, Subscriptions, Offer redemptions, Loyalty program, Mobile Ordering & Payments, and Marketing CRM tools
  • Good knowledge of legal compliance when working with Data privacy, and various Markets such as GDPR, CCPA, PCI and HIPPA
  • Previous experience in McDonald’s or similar QSR business model, digital, non-digital and large-scale E-commerce applications
  • Experienced working in fast paced iterative environment, agile methodology, tools, and technologies
  • Collaborate with cross-functional teams, team player, strong leadership, and communication skills
  • Certified with AWS Solutions Architect Associate or higher certifications.

Desired Skills

  • Professional agile certification, experienced with Agile methodology and Scrum
  • AWS certification in Solutions Architect Professional and other programming certifications
  • Ability to interact with customers at a variety of levels and across functions, collaborate and navigate complex decision making
  • Experienced working with and managing large managed services partner with onshore and offshore resources

Additional Information


McDonald’s is committed to providing qualified individuals with reasonable accommodations to perform the essential functions of their jobs. Additionally, if you (or another applicant of whom you are aware) require assistance accessing or reading this job posting or otherwise seek assistance in the application process, please contact [email protected]

McDonald’s provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Nothing in this job posting or description should be construed as an offer or guarantee of employment.

data engineer
McDonald's

www.mcdonalds.com
Chicago, IL
Chris Kempczinski
$10+ billion (USD)
10000+ Employees
Company - Public
Restaurants & Cafes
1955
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