• Partner with business stakeholders to synthesize and develop requirements for core tables

• Implement monitoring and observability to guarantee data quality and consistency

• Articulate and implement best practices around ingestion frameworks and data pipeline development

Qualifications:

Required:

• 3+ YOE Data Engineering experience

• Experience with distributed processing frameworks (e.g. Spark, Hadoop)

• Experience building Infrastructure as Code (e.g. Terraform)

• Must know SQL and at least one programming language (e.g. Python, Java, Javascript)

• Background in Data Engineering, 3+ years of experience building and maintaining scalable data infrastructure, including distributed processing solutions (e.g. Spark), cloud-based data lakes and warehouses (e.g. Databricks, Snowflake, BigQuery), workflow management (e.g. Airflow, Luigi), and data transformation tools (e.g. DBT)

• Experience using Infrastructure as Code (IaC) to automate data infrastructure provisioning and management (i.e. Terraform)

• Experience implementing and defining best data practices at scale

• Experience proactively identifying opportunities to improve ETL & dashboard performance and cost

• Proficiency with common git workflows and at least one programming language (e.g. Python, Scala, Java)

• A solution-oriented growth mindset. You’ll need to be a self-starter and thrive in a dynamic environment

• A bias towards communication and collaboration with business and technical stakeholders

• Quantitative rigor and systems thinking

Company:

Retool is a software development company that offers solutions in AI apps, documentation, developer tools, and external apps. Founded in 2017, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. Retool has a track record of offering H1B sponsorships.