1Password
Toronto
501-1,000 employees
The world’s most-loved password manager. Password is the easiest way to store and use strong passwords.
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Prior Listings
Data Platform Engineer
Data Platform Engineer
This job is no longer open
Over 80,000 businesses and millions of people use 1Password to protect their most important information. We’re a kind, curious, and customer-focused team on a mission to build the world's most-loved password manager and give people more control over their data.
We are looking for a Devops Engineer with a focus towards data platforms to join the Data Team at 1Password.
As a Data Platform Engineer, you will work with other engineers and technical resources from cross-functional teams to build a fully automated Data infrastructure that powers business automation, data science & analytics functions.
You have a passion for designing, implementing, and operating stable, scalable, and efficient solutions to flow data from production systems into the data lake, and from the lake to various supporting tools. You are curious about all the nuances in the source data systems & always make an effort to assert data quality checks and improve documentation.
This is a Remote opportunity based in Canada.
What we're looking for:
- Deep knowledge of data-relevant AWS services such as RDS, S3, Kinesis, Glue, Redshift & Athena
- Proficiency with Terraform
- Experience setting up containerized applications with Kubernetes
- Experience setting up and managing Apache Spark clusters and programming in spark
- Experience with DAG management frameworks, e.g. Airflow or Luigi.
- Experience running & monitoring batch & micro-batch workloads in production
- Proficiency in SQL & modern MPP data platforms, e.g. redshift, snowflake, prestodb (We use AWS Athena)
- Proficiency in programming with Python & Scala
- Ability and willingness to learn new technologies quickly.
- Proficiency with VSC Systems (we use Git), setting up & maintaining CI pipelines (we use gitlab)
Bonus points if you have:
- Experience setting up change data capture & streaming analytics.
- Experience integrating data to/from SaaS tools such as Salesforce, Marketo, etc.
- Experience with DBT
What you can expect:
- Build out and maintain our Data Platform on AWS using infrastructure-as-code (Terraform)
- Set up the components of our data platform: AWS S3, AWS Aurora, AWS Redshift, AWS Athena, Kubernetes, AWS Kinesis, Apache Airflow, Spark
- Set up change data capture from our application database to our data platform.
- Set up and manage internal and external API Gateways, load balancers and container orchestration on Kubernetes
- Build a streaming data pipeline connecting our various SaaS tools with our data platform & other internal API endpoints.
- Define and deploy a logging, monitoring and alerting infrastructure using AWS CloudWatch, DataDog & Elasticsearch
When we say bring your whole self to work, we mean it. You’ll join a diverse and inclusive community, built on trust, support and respect. Be yourself, find your people and share the things you love. As we continue to build our global team, we welcome all individuals and do not discriminate on the basis of gender identity, race, ethnicity, disability, sexual orientation, education, languages spoken and veteran’s status. Accommodation is available upon request at any point during the recruitment process, should you require any please do let us know.
This job is no longer open