Senior Data Engineer

Samsara; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

A data-driven technology company in Toronto is seeking a Data Engineer. You'll be responsible for developing and maintaining data pipelines, working with various data sources, and ensuring data integrity. Ideal candidates have 6 years of experience, a relevant degree, and are skilled in Python and SQL. This full-time role promotes a collaborative work environment and offers opportunities for career growth.

Qualifications

• 6 years of experience as a Data Engineer.
• Experience in building large scale production-grade data pipelines.
• Familiarity with cloud-based data-lake technologies.

Responsibilities

• Develop and maintain end-to-end data pipelines for advanced automation.
• Manage critical data pipelines for growth initiatives.
• Facilitate data integration and transformation between applications.

Skills

Python

SQL

Data Modeling

AWS

Data Warehousing

ETL Tools

Spark

API Development

Education

Bachelor's degree in Computer Science or equivalent

Tools

Databricks

Fivetran

Google BigQuery

MySQL

Job description

About the role

We are looking for a Data Engineer to join our team. Data and Analytics is a critical team within Business Technology. Our mission is to enable integrated data layers for all of Samsara and Samsara customers with the insights tools infrastructure and consultation to make data driven decisions. We are a growing team that loves all things data! The team will be composed of data engineers architects analysts and data scientists. We are passionate about leveraging world class data and analytics to deliver a great customer experience.

Our team promotes an agile collaborative supportive environment where diverse thinking innovative design and experimentation is welcomed and encouraged.

This role is open to candidates residing in the Canada.

You should apply if :

• You want to impact the industries that run our world : Your efforts will result in real-world impacthelping to keep the lights on get food into grocery stores reduce emissions and most importantly ensure workers return home safely.
• You are the architect of your own career : If you put in the work this role wont be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development countless opportunities to experiment and master your craft in a hyper growth environment.
• Youre energized by our opportunity : The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative ambitious ideas for our customers.
• You want to be with the best : At Samsara we win together celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role you will :

Develop and maintain E2E data pipelines backend ingestion and participate in the build of Samsaras 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 Samsaras cultural principles (Focus on Customer Success Build for the Long Term Adopt a Growth Mindset Be Inclusive Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role :

A Bachelors degree in computer science data engineering data science information technology or equivalent engineering program.

6 years of work experience as a Data Engineer

3 years experience on 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.

Experience with the following :

3 years in Python SQL.

Exposure to ETL tools such as Fivetran DBT or equivalent.

API : 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.

An ideal candidate has :

Comfortable in working with business customers to gather requirements and gain a deep understanding of varied datasets.

Familiarity working with Spark / PySpark and Terraform

A self-starter motivated responsible innovative and technology-driven person who performs well both solo and as a team member.

A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non technical audiences.

Logging and Monitoring : One or more of Splunk DataDog AWS Cloudwatch or equivalent.

AWS Serverless : AWS API Gateway Lambda S3 SNS SQS SecretsManager.

Required Experience :

Senior IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1