💵 NASDAQ Listed-backed hyper-growth company

🚀 Rapid career advancement with opportunities to learn

💰 Competitive salary and Performance bonus

🏖 Paid time off, Flexi-hour policy & Wellness benefits

🚀 Truly Global & Diverse Team

A global industry leader inspired by victory, this renowned company pioneers athletic footwear, apparel, and equipment for diverse sports and fitness pursuits. With a rich history rooted in innovation, it was established in 1972. Nestled in Beaverton, Oregon, it operates across multiple regions, including North America, Europe, the Middle East, Greater China, Asia Pacific, and Latin America. Among its valued entities is Converse Inc., recognized for casual wearables.

United by the love of movement, every individual here is considered an athlete. Fueled by a dedication to sports and an unwavering commitment to innovation, they strive to amplify human potential. From groundbreaking app development to crafting the perfect sneaker, they inspire athletes worldwide, nurturing greatness in all arenas of life – from the court to the beach and beyond.

It is a place to explore potential, obliterate boundaries, and push out the edges of what can be. The organization looks for individuals who can grow, think, dream, and create. Its culture thrives by embracing diversity and rewarding imagination. The entity seeks achievers, leaders, and visionaries. Within this environment, it's about each person bringing skills and passion to a challenging and constantly evolving domain.

Job Description

• Design and build reusable components, frameworks and libraries at scale to support analytics data products 
• Design and implement product features in collaboration with business and Technology stakeholders 
• Anticipate, identify and solve issues concerning data management to improve data quality
• Clean, prepare and optimize data at scale for ingestion and consumption
• Drive the implementation of new data management projects and re-structure of the current data architecture
• Implement complex automated workflows and routines using workflow scheduling tools 
• Build continuous integration, test-driven development and production deployment frameworks
• Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
• Analyze and profile data for the purpose of designing scalable solutions 
• Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
• Mentor and develop other data engineers in adopting best practices
• Work with product management to understand business requirements
• Work with Engineering leadership and architecture teams to align on design, architecture and enterprise strategy

• 8+ Years experience of building big data solutions
• Advanced experience building cloud scalable, real time and high-performance data lake solutions leveraging AWS, EMR, S3, Hive & Spark 
• Experience working in an agile and iterative landscape
• Experience with relational SQL
• Experience with scripting languages such as Shell, Python 
• Experience with source control tools such as GitHub and related dev process
• Experience with workflow scheduling toolslike Airflow
• In-depth understanding of micro service architecture
• Strong understanding of developing complex data solutions
• Experience working on end-to-end solution design
• Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions
• Willing to learn new skills and technologies
• Have a passion for data solutions
• Strong understanding of data structures and algorithms
• Strong understanding of solution and technical design
• Has a strong problem solving and analytical mindset
• Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
• Able to quickly pick up new programming languages, technologies, and frameworks

Imagine a world without boundaries, where companies effortlessly discover, hire, and manage talent, regardless of geographical constraints. Skuad brings this vision to life. We're on a mission to democratize global talent and opportunities, making remote work accessible worldwide. Skuad empowers employers to effortlessly build, pay, and oversee exceptional global teams while handling the complexities of payroll, compliance, and taxation.

Our diverse, globally distributed team is passionate about fostering inclusive work cultures and enabling customers to thrive globally. Backed by leaders with over two decades of HR expertise, our goal is to create one million opportunities globally by 2027.

Having raised $15 million in Series A funding in Oct 2022, totaling $19 million with support from returning investors Beenext and Anthemis, we're committed to driving value, learning, and continuous improvement as a united global team.

In August 2024, Skuad was acquired by Payoneer. Payoneer (NASDAQ: PAYO) is a leading global payments platform that partners with freelancers, SMBs, marketplaces, and enterprises to solve their biggest payment challenges. Leveraging robust technology, compliance, operations, and banking infrastructure, Payoneer powers growth for entrepreneurs in emerging markets, Payoneer makes global commerce easy and secure. Skuad’s acquisition brings a key capability workforce management capabilities to Payoneer’s growing financial stack.

With Skuad you get to have:

Ownership: You will own what you do. We are a results-driven team, which means we expect you to get things done.

Endless support: You will always be able to reach the help you may need. You will have the resources you need to deliver.

Experiment: This is your playground. You will come up with ideas of your own, pitch them, and take them up. You will have a free hand to execute exciting ideas.

Impact: Be a part of a world-class team where we are constantly challenged with new things and maximize the impact of the products we build.