Were seeking an experienced and skilled Senior Software Engineer or Senior Data Engineer for our Data Infrastructure team.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a senior engineer, you will be responsible for designing, implementing, and maintaining various data services to enable internal teams to process, store, orchestrate, and consume data effectively.
The ideal candidate will have a strong background in data and backend engineering and a track record of designing and implementing scalable data solutions. The Data Infrastructure Engineer will collaborate closely with software engineers, data scientists, data engineers, and other stakeholders to understand requirements, design solutions and implement data-related features and functionalities.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure.
As a senior engineer, you will be responsible for designing, implementing, and maintaining various data services to enable internal teams to process, store, orchestrate, and consume data effectively.
The ideal candidate will have a strong background in data and backend engineering and a track record of designing and implementing scalable data solutions. The Data Infrastructure Engineer will collaborate closely with software engineers, data scientists, data engineers, and other stakeholders to understand requirements, design solutions and implement data-related features and functionalities.
Requirements:
5+ years of experience in data or backend engineering.
Strong knowledge of data services architecture, ML Ops, and ETL processes.
Experience with cloud-based data infrastructure, such as AWS, GCP, or Azure.
Experience with SQL and NoSQL databases.
Experience with Data Warehouse technologies such as Snowflake and Databricks.
Experience working with NodeJS, Python, or any other equivalent language.
Excellent communication and collaboration skills.
Bonus points:
Experience working with Typescript
Experience building infrastructure for Data Science
Experience working with BI developers and analysts to drive business value.
Experience administering and managing Databricks clusters
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka
Experience working with serverless products such as AWS Lambda
5+ years of experience in data or backend engineering.
Strong knowledge of data services architecture, ML Ops, and ETL processes.
Experience with cloud-based data infrastructure, such as AWS, GCP, or Azure.
Experience with SQL and NoSQL databases.
Experience with Data Warehouse technologies such as Snowflake and Databricks.
Experience working with NodeJS, Python, or any other equivalent language.
Excellent communication and collaboration skills.
Bonus points:
Experience working with Typescript
Experience building infrastructure for Data Science
Experience working with BI developers and analysts to drive business value.
Experience administering and managing Databricks clusters
Experience with streaming technologies such as Amazon Kinesis and Apache Kafka
Experience working with serverless products such as AWS Lambda
This position is open to all candidates.
