Poshmark is hiring for software Engineer: Experienced

Job Description

Company Name :-

Poshmark

Designation / Position :-

Data Engineer

Type :-

Full - Time

Location :-

Chennai, Tamilnadu, India.

About the comapny :-

Poshmark is a leading social marketplace for new and secondhand style for women, men, kids, pets, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of e-commerce, Poshmark makes buying and selling simple, social, and sustainable. Its community of more than 80 million registered users across the U.S., Canada, Australia, and India, is driving the future of commerce while promoting more sustainable consumption.

Qualification :-

Any Degree

Experience:-

Experienced

Skill Set:-

1. Excellent technical problem solving using data structures and algorithms, with emphasis on optimization and code quality.
2. 2 + years of relevant software engineering experience using object oriented programming languages like Scala / Java / Ruby / Python / C++ etc.
3. Expertise in architecting and building large-scale data processing systems using Big Data technologies like Spark, Hadoop, EMR, Kafka/ Kinesis, Flink, Druid.
4.Expertise in SQL with knowledge on any existing data warehouse technology like Redshift
5.Expertise in Google Apps Script, Databricks or API Integrations is a plus.
6. Be self-driven, take complete ownership of initiatives, make pragmatic technical decisions and collaborate with cross-functional teams.

Key Responsibilities :-

1. Design, Develop & Maintain growth data pipelines and integrate paid media sources like Facebook and Google to drive insights for business.
2. 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.
3. Responsible for architecting/designing/developing critical data pipelines at Poshmark.
4. Productionizing ML models in collaboration with the Data Science and Engineering teams.
5. Maintain and support existing platforms and evolve to newer technology stacks and architectures.
6. Participate and contribute to constantly improving best practices in development.

Note :-

For more information, please visit www.poshmark.com, and for company news and announcements, please visit investors.poshmark.com.

Click here to apply

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