Senior Data Systems Engineer

Job Description :

Senior Software Engineer - Data Engineering

Big Data team is a central player in the Poshmark organization. Our mission is to

build a world-class big data platform to bring value out of data for us and for our customers. Our goal is to democratize data, support exploding business, build data and ML pipelines to fuel existing and new business critical initiatives.

The Data Engineering team at Poshmark is looking for an experienced software engineer to take care of Poshmak’s growth data, ensuring real-time access to quality data for all the stakeholders. The role requires strong understanding of software engineering best practices and excellent software development skills to build and maintain real-time and batch data pipelines with a focus on scalability and optimizations. In addition, the role also requires collaborating with Data Science, Analytics and other Engineering teams to build newer ETLs analyzing terabytes of data.

The role also requires being able to write clean and scalable code to pull datasets from disparate sources involving External APIs, S3 transfers, Kafka, Demux and so on. You will work with cutting edge technologies and frameworks like Scala, Ruby, Apache Spark, Airflow, Redshift, Databricks, Docker etc. You will also manage the growth data infrastructure comprising ETL pipelines, Hive tables, Redshift tables, BI tools. We are looking for a software engineer who can help us define the next phase of growth data systems in terms of scalability and stability.

Responsibilities

• Design, Develop & Maintain growth data pipelines and integrate paid media sources like Facebook and Google to drive insights for business.
• Build highly scalable, available, fault-tolerant data processing systems using AWS technologies, Kafka, Spark, and other big data technologies. These systems should handle batch and real-time data processing over 100s of terabytes of data ingested every day and a petabyte-sized data warehouse.
• Responsible for architecting / designing / developing critical data pipelines at Poshmark.
• Maintain and support existing platforms and evolve to newer technology stacks and architectures.
• Participate and contribute to constantly improving best practices in development.

Desired Skills

Technologies we use

Why Poshmark?

Poshmark is a leading social commerce platform for the next generation of retailers and shoppers. Through technology, our mission is to build the world’s most connected shopping experience, while empowering people to build thriving retail businesses. Since launching in 2011, Poshmark has become a vibrant social shopping community with ten million Seller Stylists helping 160 million users discover items they love from over 1.5 billion listings. For more information, please visit www.Poshmark.Com, or find us on Instagram, Facebook, Twitter, Pinterest and YouTube.

About Us :

At Poshmark, we’re constantly challenging the status quo and are looking for innovative and passionate people to help shape the future of Poshmark. We’re disrupting the industry by combining social connections with e-commerce through data-driven solutions and the latest technology to optimize our platform. We’re nothing without our amazing team who deliver an unparalleled social shopping experience to the millions of people we connect each day.

We built Poshmark around four core values :

Focus on people to create empowered communities that drive success.

Together we grow to support each other to strive for our dreams.

Lead with love to foster genuine connections built upon a foundation of respect.

Embrace your weirdness to accept and empower one another on their own unique journey. We’re invested in our team and community, working together to build an entirely new way to shop. That way, when we win, we all win together. Come help us build the most connected shopping experience ever.

Here’s what we’ll set you up with :

Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.