In this role, you will:
- Develop and maintain E2E data pipelines, backend ingestion and participate in the build of Samsara s Data Platform to enable advanced automation and analytics.
- Work with data from a variety of sources including but not limited to: CRM data, Product data, Marketing data, Order flow data, Support ticket volume data.
- Manage critical data pipelines to enable our growth initiatives and advanced analytics.
- Facilitate data integration and transformation requirements for moving data between applications; ensuring interoperability of applications with data layers and data lake.
- Develop and improve the current data architecture, data quality, monitoring, observability and data availability.
- Write data transformations in SQL/Python to generate data products consumed by customer systems and Analytics, Marketing Operations, Sales Operations teams.
- Champion, role model, and embed Samsara s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
Minimum requirements for the role:
- A Bachelor s degree in computer science, data engineering, data science, information technology, or equivalent engineering program.
- 5+ years of work experience as a data engineer, including 3+ years of experience in designing, developing, testing, and maintaining E2E data pipelines..
- Experience with modern cloud-based data-lake and data-warehousing technology stacks, and familiarity with typical data-engineering tools, ETL/ELT, and data-warehousing processes and best practices.
- Experience with the following:
- Languages: Python, SQL.
- Exposure to ETL tools such as Fivetran, DBT or equivalent.
- API: Exposure to python based API frameworks for data pipelines.
- RDBMS: MySQL, AWS RDS/Aurora MySQL, PostgreSQL, Oracle, MS SQL-Server or equivalent.
- Cloud: AWS, Azure and/or GCP.
- Data warehouse: Databricks, Google Big Query, AWS Redshift, Snowflake or equivalent.
An ideal candidate has:
- Comfortable in working with business customers to gather requirements and gain a deep understanding of varied datasets.
- A self-starter, motivated, responsible, innovative and technology-driven person who performs well both solo and as a team member.
- A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non technical audiences.
- ETL and Orchestration Experience.
- Fivetran, Alteryx or equivalent.
- DBT or equivalent.
- Logging and Monitoring: One or more of Splunk, DataDog, AWS Cloudwatch or equivalent.
- AWS Serverless: AWS API Gateway, Lambda, S3, SNS, SQS, SecretsManager.
- Other: Docker, Kubernetes, AWS ECR, AWS Fargate, AWS IAM.
