data engineer Johns Creek, GA
Job description
Macy's, Inc is building an Enterprise Data & Analytics team to further grow our capabilities in support of our mission to be a data - led, customer centric company. This team will focus on accelerating impact from analytics, coordinating an enterprise-wide roadmap, and ensuring proper data governance and management. As a member of this team, the engineer will help lead the charge to execute on our vision to build profitable lifetime customer relationships by embedding data & analytics at the heart of everything we do.
Position Overview:
The Lead Data Engineer is responsible for development and support of data products on a modern cloud-based data lake, leveraging expertise and knowledge of multiple technologies & data domains to help build a robust, scalable, and reliable data engineering platform.
The Lead Data Engineer is responsible for providing data services for enterprise-grade analytical environments, utilizing automated data pipelines at scale, and streamlining efficient data transformations for priority use cases, be involved hands on in development of the codebase and partner closely with business units and peer technology groups to support analytics execution.
Essential Functions
Solution Design & Implementation:
- Work closely with business stakeholders, implement scalable solutions to meet requirements
- Follow and improve existing processes and procedures
- Lead a pod of data engineers, providing both technical oversight and supporting their growth
- Build, maintain and simplify enterprise data pipelines with emphasis on reusability & data quality
- Work with Legal and Privacy teams to adhere to data privacy and security requirements
Culture:
- Train and mentor fellow engineers on both technical stack and data domain specifics
- Establish a pro-active approach to data management, ensuring business stakeholders & platforms can access required data within the SLA window
- Drive change management to increase user adoption of enterprise data repositories and leverage standardized data pipelines across use cases
- Increase agility in identifying data issues and taking action to remediate
Qualifications
Education/ Experience:
- Data engineering experience with:
- 3+ years of experience in designing and implementing cloud-based data solutions
- 3+ years of experience integrating with analytics reporting solutions (e.g. Tablaeu, PowerBI)
- 3+ experience with big data processing technologies such as Hadoop, Spark, etc.
- 5+ years of experience building & automating ETL data pipelines using enterprise grade tools
- 5+ years of experience building enterprise-grade data warehouses (either on-prem or on cloud)
- 8+ years of overall programming experience, including recent experience with Python & SQL
- Ability to effectively share technical information, communicate technical issues and solutions to all levels of business stakeholders
- Customer-centric and experienced with cross-functional collaboration
- Excellent written and verbal communication skills
What we can offer you:
- Exciting, challenging problems to solve - you'll never have a boring day at work
- A refreshingly fun work environment where you will collaborate with a smart and talented team
- Unique freedom to build and lead a team in next gen thinking
- A chance to learn and participate in the growth of NYC’s largest retailer
This job description is not all inclusive. Macy’s Inc. reserves the right to amend this job description at any time. Macy's Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.
