About Gap Inc.
Our past is full of iconic moments - but our future is going to spark many more. Our brands - Gap, Banana Republic, Old Navy and Athleta - have dressed people from all walks of life and all kinds of families, all over the world, for every occasion for more than 50 years.
But we're more than the clothes that we make. We know that business can and should be a force for good, and it's why we work hard to make product that makes people feel good, inside and out. It's why we're committed to giving back to the communities where we live and work. If you're one of the super-talented who thrive on change, aren't afraid to take risks and love to make a difference, come grow with us.
About the Role
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As a Senior Data Engineer, you will work closely with engineering, analytics, data science staff across various Gap Development Center to deliver the goals and objectives of the business.
What You'll Do
- Partner with Product Managers, and Solution Architects to define and analyze customer's technical requirements
- Provides technical input to Statement of Work for External Service Providers
- Ability to break down product management stories into detailed design specifications for medium to complex business problems
- Experience with building data pipeline from several business applications
- Ability to collaborate with business stakeholders to identify and meet data requirements.
- Guides team members on the use of design patterns and adherence to code quality metrics
- Uses software code management tools and processes to ensure code traceability and good governance.
- Conducts code reviews with other team members (either internal or external service providers)
- Makes continuous improvement to our coding and test practices across applications
- Works in DevOps team which uses continuous development, integration and testing with automated releases to lower and higher environments with application monitoring plus supporting the product
- Experience performing root cause analysis on all data and processes to answer specific questions and identify opportunities for improvement.
- Participates in recommending emerging technologies and application solutions
- Candidate with 5+ years of experience in a Data Engineer role
- Graduate degree in Computer Science or equivalent
- High Problem-Solving Skills with analytical thinking and logical reasoning
- Having experience working on spark platform, spark sql, Python and common python libraries.
- Working experience on cloud-based environments such as Databricks on Azure. ADF, PySpark etc.
- Hands on experience writing notebooks using Python/Spark
- Well versed with relational databases, nonrelational databases, data streams, and file stores
- Experience with source control systems such as GitHub and Jenkins build and continuous integration tools.
- Automation using Linux shell & Python scripting.
Benefits at Gap Inc.
- One of the most competitive paid time off plans in the industry
- Comprehensive health coverage for employees, same-sex partners and their families
- Health and wellness program: free annual health check-ups, fitness center and Employee Assistance Program
- Comprehensive benefits to support the journey of parenthood
- Retirement planning assistance
- See more of the benefits we offer.