Recharge is hiring a
Senior Data Engineer, Remote - Worldwide

Summary

The job is for a Senior Data Engineer at Recharge Payments, a subscription platform for innovative ecommerce brands. The role involves building scalable data pipelines and infrastructure to power internal business analytics and customer-facing data products, working with various teams to implement data strategies, and optimizing existing ETL processes.

Requirements

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc)
• 3+ years of hands-on experience designing and building data pipelines and models to ingesting, transforming and delivery of large amounts of data, from multiple sources into a Dimensional (Star Schema) Data Warehouse, Data Lake
• Experience with a variety of data warehouse, data lake and enterprise data management platforms (Snowflake {preferred}, Redshift, databricks, MySQL, Postgres, Oracle, RDS, AWS, GCP)
• Experience building data pipelines, models and infrastructure powering external, customer-facing (in addition to internal business facing) analytics applications
• Solid grasp to data warehousing methodologies like Kimball and Inmon
• Experience with a variety of ETL tools. (FiveTran, dbt, Python etc)
• Experience with workflow orchestration management engines such as Airflow & Cloud Composer
• Hands on experience with Data Infra tools like Kubernetes, Docker
• Expert proficiency in SQL
• Strong Python proficiency

Responsibilities

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and external, customer-facing data products
• Create automated monitoring, auditing and alerting processes that ensure data quality and consistency
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Design, develop, implement, and optimize existing ETL processes that merge data from disparate sources for consumption by data analysts, business owners, and customers
• Seek ways to continually improve the operations, monitoring and performance of the data warehouse

Preferred Qualifications

Experience with ML Operations is a plus