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Join the Data Pipeline team at Bloomreach to develop a data pipeline processing a large amount of data reliably and at a high rate. The platform processes tens of thousands of requests per second and involves imports, exports to BigQuery, and high-volume traffic handling.
Job Responsibility:
Develop a data pipeline processing a large amount of data reliably and at a high rate using Python, Go, MongoDB, GCP and much more
Help improve the efficiency of our workers, improve monitoring or help with autoscaling of our infrastructure
Help us to improve the throughput and reliability of our imports
Help us implement integration with another data storage
Help us run and support our services in production handling high-volume traffic using Google Cloud Platform and Kubernetes
Review the code of your peers
Participate in on-call rotation keeping our services up and running
Requirements:
Experience with Python and a solid grasp of engineering practices
Experience with Go is a big advantage
Experience with ETL pipelines, ingest on a scale, starting from various connectors to SQL and non-SQL sources, followed by data cleanup, sanitization and transformations resulting in loading cleaned-up data into optimise storages for a given use-case
Know how to behave in a remote-first environment
Able to learn and adapt
What we offer:
A great deal of freedom and trust
Flexible working hours
Work virtual-first
Company events
5 paid days off to volunteer
People Development Program
Communication coach available
Leader Development Program
$1,500 professional education budget annually
Employee Assistance Program with counselors
Subscription to Calm app
‘DisConnect’ days off each quarter
Facilitated sports, yoga, and meditation opportunities
Extended parental leave up to 26 calendar weeks for Primary Caregivers