Senior Engineer, Data Engineering

2 days ago


Chennai, India Poshmark Full time

Senior Software Engineer - Data Engineering Big Data team is a central player in the Poshmark organization. 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. 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. 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. 3+ years of overall software development experience. ~ Strong software development experience with Big Data technologies and hands-on coding experience. ~ Expertise in architecting and building large-scale data processing systems using Big Data technologies like Spark, Hadoop, EMR, Kafka/ Kinesis, Flink, Druid. ~ Able to deliver complex projects end-to-end. ~ Expertise in SQL with knowledge on any existing data warehouse technology like Redshift. ~ Expertise in Google Apps Script, Databricks or API Integrations is a plus. Ruby, Scala, Python, Google Apps Script MongoDB, Redshift, Druid 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.For more information, please visit or find us on Instagram, Facebook, Twitter, Pinterest and YouTube. 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. Focus on people to create empowered communities that drive success. Lead with love to foster genuine connections built upon a foundation of respect. We’re invested in our team and community, working together to build an entirely new way to shop. Come help us build the most connected shopping experience ever. A team that is invested in your career growth and training Competitive salary and equity, based on experience Work alongside world-class talent Flexible vacation / paid time off policy Parental leave We celebrate diversity and are committed to creating an inclusive environment for all employees. We celebrate diversity and are committed to creating an inclusive environment for all employees.


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