Senior Data Engineer

April 11

Recharge

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Seamless subscription commerce. We turn transactions into relationships.

eCommerce • Shopify • Subscriptions • Payments • SaaS

501 - 1000

💰 $227M Series B on 2021-05

Description

• 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 • Influence and communicate with all levels of stakeholders including analysts, developers, business users, and executives. • Live by and champion our values: #day-one, #ownership, #empathy, #humility.

Requirements

• Typically, 5+ years experience in a data engineering related role (Data Engineer, Data Platform Engineer, Analytics Engineer etc) with a track record of building scalable data pipeline, transformation, and platform solutions. • 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 working 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 • Experience with ML Operations is a plus.

Benefits

• Recharge is simplifying retention and growth for innovative ecommerce brands. • Recharge is dedicated to empowering brands to easily set up and manage subscriptions, create dynamic experiences at every customer touchpoint, and continuously evaluate business performance. • Recharge helps merchants seamlessly manage, grow, and delight their subscribers while reducing operating costs and churn. • Recharge is recognized on the Technology Fast 500, awarded by Deloitte, (3rd consecutive year) and is Great Place to Work Certified.