Swiftly is the AI platform purpose-built for retail, serving retailers, wholesalers, and brands. Swiftly's AI agents unify data, automate workflows, and power the marketing that drives measurable business growth. Swiftly AI is built on the industry's largest proprietary retail dataset: live transactions, 9 million products, and the closed-loop campaign outcomes of 33,000 stores.

Trusted by leading retailers, wholesalers, and hundreds of iconic brands, Swiftly unifies data across the retail ecosystem to accelerate growth and power the connected, personalized experiences that drive lasting shopper loyalty.

Swiftly is searching for a Junior Data Engineer to help scale our Retailer Platform that spans multiple technologies using JVM stack (e.g., Java, Scala, Kotlin) and SQL (any variant). This role will apply statistical and analytical skills and data engineering fundamentals to support building high-quality data products. The ideal candidate will be able to prioritize observability in designs, ensuring solutions are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.

This is a part-time, short-term contract role for a 2-month engagement. Availability of 20 hours per week is required. We use Deel as the contract of record.

Responsibilities Include:

Taking customer data and processing it via Python and Spark in a Databricks environment using SQL in combination

Working with Data Analysts to answer data questions and offload repeatable processes

Validating data processes and results

Performance tuning of big data batch processing and streaming pipelines

Creating dashboards & alerts for internal process and data monitoring, using Databricks, Grafana and Tableau

Other related duties as assigned

Required Qualifications:

1+ years of industry experience architecting, coding, verifying and operating large-scale data pipelines and architectures

1+ years of professional experience with Spark, Python and SQL

Demonstrated ability to work collaboratively in an ambiguous, fast-paced environment

Experience with NoSQL, Document DB, Key-Value, Columnar and blob data storage patterns

History working with multiple vendor solutions for repository patterns and the ability to quickly identify the right solution for a given data architecture and workload

Proven ability to collaborate with client and service engineering teams to ensure the best possible data architecture

Operational experience working with large scale data warehouses and/or data lakes, experience with different distributed processing frameworks that can handle data in batch

Build data products that are well-modeled, documented, and easy to understand and maintain

Availability of 20 hours per week is required

Preferred Qualifications:

Understanding of data science and have experience building data pipelines to support data scientists

Experience with ad-hoc analysis and data visualization platforms including Excel, PowerBI, and Tableau

Familiarity with common data engineering scripting languages

Working For Swiftly

We are working on a set of problems that require the best in the industry to get right. Our employees are the pillars of the future of the company and they are treated and compensated as such. We're a growing team of experienced industry professionals building an organization that can solve tough problems and values a collaborative environment.

Every Swiftly employee:

-Has demonstrated the ability to work collaboratively in an ambiguous, fast-paced environment

-Takes ownership of their domain from the ground up, from inception through deployment to customers

-Leaves their ego at the door and ensures the best idea leaves the room

-Is always experimenting with new technologies and learning new skillsets

If you've ever wanted to work on a project that blends a gorgeous consumer experience, sophisticated logistics, and scale that rivals the largest technology players, Swiftly is the place for you.

Equal Opportunity Employer

Swiftly is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. 

Swiftly will make reasonable accommodations in compliance with the Americans with Disabilities Act of 1990. Reasonable accommodations are available for qualified individuals with disabilities throughout the subsequent application process.

Originally posted on Himalayas

Junior Data Engineer (Part Time)

Job Description