⚠️ Only available to applicants residing in Latin America ⚠️
Client is the fastest-growing SaaS solution in the third-party logistics market. Keeping up with the massive increase in online retail activity from companies like Amazon, Shopify, and Target, and the growth in supply chain logistics can be challenging for warehouses. Born within an active 3PL warehouse, the Client built the first cloud-based warehouse management platform to better serve customers and increase warehouse efficiencies to grow their businesses. We pride ourselves on understanding and delivering best practices and excellence to 3PLs and their customers.
About the role:
Client, is currently looking for an experienced Data Engineer to join their Operations team. The successful candidate will be responsible for managing and operating the company's databases, which will involve overseeing various aspects such as reporting, indexing, security, clustering, and replication. This role is a critical one for ensuring the smooth and efficient functioning of the company's data infrastructure. As the go-to person for all database-related matters, the Data Engineer will play a pivotal role in driving the success of Client’s operations.
Responsibilities:
- Develop and maintain an efficient data pipeline architecture that meets business requirements.
- Assemble large and complex data sets to meet functional and non-functional business requirements.
- Identify opportunities for internal process improvements, such as automating manual processes, optimizing data delivery, and infrastructure scalability.
- Construct the necessary infrastructure for extracting, transforming, and loading data from various sources, using SQL, Python, and AWS data technologies.
- Collaborate with stakeholders, product teams, data teams, and design teams, to address technical data-related issues and support their data infrastructure needs.
- Develop data tools that support analytics and data science in building and optimizing the company's product into an innovative industry leader.
- Work with Product Management to validate requirements for BI and author datasets and dashboards.
- Setup monitoring and alerting on data pipelines and dashboards
What they’re looking for:
- Bachelor's Degree in Computer Science, Engineering, or a related field.
- 5+ Years of experience working as a Data Engineer.
- 5+ Years of experience working with Python.
- 5+ Years of experience working with SQL.
- 3+ Years of experience working with ETL.
- 3+ Years of experience working with AWS.
- Advanced English level.
Nice to have:
RDBMS, S3, AWS Glue, Apache Airflow, MySQL, AWS Lambda, CI/CD
Time Zone:
PST / MST / CST, preferably
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