Data Platform Reliability Engineer
ShipHero
/job-details/2685
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Shiko punët aktive.
Hello. We are ShipHero (https://shiphero.com). We have built a software platform entrusted by hundreds of eCommerce companies, large and small to run their operations and we continue to grow. About US$5 billion of eCommerce orders are shipped a year via ShipHero. Our customers sell on Shopify, Amazon, Etsy, eBay, WooCommerce, BigCommerce, and many other platforms. We’re driven to help our customers grow their businesses by providing a platform that solves complex problems, and is engineered to be reliable and fast. We are obsessed with building great technology that is beautiful, easy to use, and is loved by our customers. Our culture also reflects our ethos and belief that by bringing passionate, talented, and great people together – you can do great things.
Our team is fully remote, the company has always been remote. We communicate regularly using video chat and Slack and put a strong emphasis on asynchronous work so people have large chunks of uninterrupted time to focus and do deep work.
**About You**
- You understand that great things are accomplished when teams work together.
- You’ve made many mistakes, and most importantly, have learned from them.
- You are always eager to learn more and love to try out new solutions on your own.
- You are experienced in operating and improving the reliability of data storage and processing systems (relational databases, data warehouses, data lakes, and distributed processing systems), including operational optimization (e.g. indexes, query tuning, monitoring).
- You’re familiar with stream processing and have worked with tools like Kafka or Kinesis, or you're eager to learn more about them.
- You’ve had some experience with setting up and managing data processing systems in AWS or GCP, and you're comfortable using tools like Terraform or Ansible.
- You enjoy working with Python and have an understanding of how to maintain ETL jobs, such as using Airflow or similar tools. Experience with the AWS data ecosystem is highly appreciated (Amazon Aurora MySQL, DocumentDB/MongoDB, OpenSearch/ElasticSearch, Redshift, Glue/Spark, MSK/Kafka, Kinesis, Debezium, S3/Apache Hudi, MWAA/Airflow.
While we understand that all of these points cannot always be considered in one role, combining these skills and a passion for learning and collaboration will help drive success.
The Role
- Operate, improve, and extend ShipHero’s data infrastructure.
- Support engineering teams in enhancing the performance of reports, searches, and other data services.
- Collaborate within the Platform Team to address performance and reliability challenges in data infrastructure.
- Optimize both relational and non-relational databases for performance and scalability.
- Automate infrastructure management through code for consistency and scalability.
- Rotative On-call rotation 24x7.
The Perks
- 20 days paid vacation + new year & Christmas
- Conference days don't count against your vacation days, we want you to stay up-to-date
- We will pay for courses & conferences, if you learn we all learn
Our team is fully remote, the company has always been remote. We communicate regularly using video chat and Slack and put a strong emphasis on asynchronous work so people have large chunks of uninterrupted time to focus and do deep work.
**About You**
- You understand that great things are accomplished when teams work together.
- You’ve made many mistakes, and most importantly, have learned from them.
- You are always eager to learn more and love to try out new solutions on your own.
- You are experienced in operating and improving the reliability of data storage and processing systems (relational databases, data warehouses, data lakes, and distributed processing systems), including operational optimization (e.g. indexes, query tuning, monitoring).
- You’re familiar with stream processing and have worked with tools like Kafka or Kinesis, or you're eager to learn more about them.
- You’ve had some experience with setting up and managing data processing systems in AWS or GCP, and you're comfortable using tools like Terraform or Ansible.
- You enjoy working with Python and have an understanding of how to maintain ETL jobs, such as using Airflow or similar tools. Experience with the AWS data ecosystem is highly appreciated (Amazon Aurora MySQL, DocumentDB/MongoDB, OpenSearch/ElasticSearch, Redshift, Glue/Spark, MSK/Kafka, Kinesis, Debezium, S3/Apache Hudi, MWAA/Airflow.
While we understand that all of these points cannot always be considered in one role, combining these skills and a passion for learning and collaboration will help drive success.
The Role
- Operate, improve, and extend ShipHero’s data infrastructure.
- Support engineering teams in enhancing the performance of reports, searches, and other data services.
- Collaborate within the Platform Team to address performance and reliability challenges in data infrastructure.
- Optimize both relational and non-relational databases for performance and scalability.
- Automate infrastructure management through code for consistency and scalability.
- Rotative On-call rotation 24x7.
The Perks
- 20 days paid vacation + new year & Christmas
- Conference days don't count against your vacation days, we want you to stay up-to-date
- We will pay for courses & conferences, if you learn we all learn
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