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Data Engineer
Posted on 7/15/2022
INACTIVE
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
Apache Spark
AWS
Bash
Data Analysis
Data Science
Hadoop
Git
Java
Linux/Unix
Marketing
Postgres
Redshift
SCRUM
SQL
Python
Requirements
  • 3+ years in data engineering roles or 4+ years in data-intensive engineering or software development roles
  • Bachelor's degree in a STEM related field. Advanced degree preferred
  • Solid understanding of at least one programming language: Python (preferred) or Java
  • Working knowledge of developing ETL/ELT pipelines, including data processing and transformingdata to meet business goals
  • 1+ years of experience with big data architectures and tools to efficiently process large volumes of data
  • Familiar with REST for accessing cloud based services
  • Excellent knowledge about databases or data warehouses, such as PostgreSQL or Redshift
  • Strong understanding and working knowledge of using SQL (PostgreSQL or Redshift preferred) for various reporting and transformation needs
  • Comfortable with Linux operating system and command line tools such as Bash
  • Great teammate with excellent communication, adaptability and collaboration skills
  • Experience running Agile methodology and applying SCRUM to data engineering
  • Experience with GIT and Github
  • Bonus: Experience working in a cloud-based ecosystem, preferably AWS (including RDS, Redshift,Athena, Glue, etc.)
  • Bonus: Experience with Apache Hadoop, Hive, Spark or PySpark
  • Bonus: Experience with orchestration tools such as Apache Airflow
  • Bonus: Experience with data integration tools such as Airbyte
Responsibilities
  • Build and maintain data pipelines to support the data and analytics needs of different partners across multiple business verticals including Supply Chain, Logistics, Finance, Marketing, Product, etc
  • Understand end to end data interactions and dependencies across complex data pipelines and data transformation and how they impact business decisions
  • Collaborate with the team to develop best practices in building our next generation data platform
  • Implement data lake ingestion pipelines using Apache Spark and Apache Hudi
Peloton

1,001-5,000 employees

Live and on-demand boutique studio classes
Company Overview
Peloton uses technology and design to connect the world through fitness, empowering people to be the best version of themselves anywhere, anytime. The company offers a suite of fitness products and services.
Benefits
  • Comprehensive health & life benefits
  • Supporting families
  • Future planning
  • Education
  • Product discounts
  • Supporting our communities
Company Core Values
  • Put members first
  • Operate with a bias for action
  • Empower teams of smart creatives
  • Be the best place to work
  • Together we go far