Verified Job
IT / Software / Data Analyst
Software Developer Data Engineering
IT / Software / Data Analyst
#319438
Remote / WFH
Job Description
The 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, provide reporting and analytics self-service tools, and 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, Web Scraping. You will work with cutting edge technologies and frameworks like Scala, Ruby, Apache Spark, Airflow, Redshift, Databricks, Docker. 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.
• Productionizing ML models in collaboration with the Data Science and Engineering teams.
• 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 & Experience
• Excellent technical problem solving using data structures and algorithms, with emphasis on optimization and code quality.
• 1-3 years of relevant software engineering experience using object oriented programming languages like Scala / Java / Ruby / Python / C++ etc.
• Expertise in architecting and building large-scale data processing systems using Big Data technologies like Spark, Hadoop, EMR, Kafka/ Kinesis, Flink, Druid.
• 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.
• Be self-driven, take complete ownership of initiatives, make pragmatic technical decisions and collaborate with cross-functional teams
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, Web Scraping. You will work with cutting edge technologies and frameworks like Scala, Ruby, Apache Spark, Airflow, Redshift, Databricks, Docker. 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.
• Productionizing ML models in collaboration with the Data Science and Engineering teams.
• 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 & Experience
• Excellent technical problem solving using data structures and algorithms, with emphasis on optimization and code quality.
• 1-3 years of relevant software engineering experience using object oriented programming languages like Scala / Java / Ruby / Python / C++ etc.
• Expertise in architecting and building large-scale data processing systems using Big Data technologies like Spark, Hadoop, EMR, Kafka/ Kinesis, Flink, Druid.
• 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.
• Be self-driven, take complete ownership of initiatives, make pragmatic technical decisions and collaborate with cross-functional teams
