AI Developer building agentic systems, RAG pipelines, and production AI solutions for Mirego clients. Bridging backend software development with modern AI models and frameworks.
About the role
- Data Engineer developing and maintaining data pipelines leveraging analytics for Samsara’s Data Platform. Working collaboratively to integrate diverse data sources and ensure data-driven decision-making.
Responsibilities
- 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 as we scale globally and across new offices.
Requirements
- A Bachelor’s degree in computer science, data engineering, data science, information technology, or equivalent engineering program.
- 3+ years of experience in data engineering, ETL development, or database architecture.
- 3+ years of experience in building/maintaining a large-scale production-grade end-to-end data pipelines, including Data Modeling.
- 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 leading end-to-end projects, including being the central point of contact to stakeholders.
- Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions.
- 3+ years in Python, SQL.
- Exposure to ETL tools such as Fivetran, DBT or equivalent.
- 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.
Benefits
- Health benefits
- Employee-led remote and flexible working
- Competitive total compensation package
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