Software Engineer - Data Engineer

October 20

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Logo of Fractal River

Fractal River

Management Consulting • Innovation • Customer Experience • Operational Excellence • Service Management

Description

•Help design and implement data pipelines and analytic infrastructures with the latest technologies. •Create beautiful dashboards and reports, and work with customers to create self-service exploration data cubes using Looker. •Develop Python & SQL components to integrate and automate a variety of processes and tools. •Leverage APIs from multiple systems to extract and update data, trigger and monitor processes. •Maintain and oversee cloud infrastructure to ensure it is running with the reliability and performance our customers expect. •Help create Data Models, best practices, and technical documents for our customers. •Develop our internal best practices, policies, and processes regarding DevOps and DataOps. •Coordinate projects, activities, and tasks to ensure objectives and key results are met. •Help identify opportunities, generate innovative solutions, and improve existing product features.

Requirements

•2-5 years of working experience in fast-paced environments. •High tolerance for ambiguity. •Passion for constant learning. •Adept at data analysis and process improvement. •Work collaboratively and able to own a project with little guidance. •Thrive in an environment with constant and quick iterations. •Strong communication skills in English (CEFR level C1 is a must). •Strong attention to detail. •Wizards in Python and/or speak SQL as a second language. •Familiar with databases & data warehouses: Snowflake, Redshift, BigQuery, Postgres, MySQL, etc. •Comfortable creating complex data models and visualizations. •Familiar with development tools (Terraform, GitHub, VSCode, CircleCI, Docker, dbt). •Knowledgeable of AWS environments (EC, Lambda, IAM, SQS, RDS, Kinesis, VPC, etc.). •Like to work in a very diverse work environment and be comfortable with non-hierarchical organizations. •Bachelor’s degree in computer science or similar. •Google Professional Data Engineer / Cloud Developer certifications are a plus. •AWS associate or professional-level certifications (Solutions Architect, Developer, DevOps Engineer) are a plus. •Knowledge of Google Analytics, Salesforce, HubSpot, and/or ZenDesk is a plus. •Knowledge of Looker or Tableau is a plus.

Benefits

•Personal development plan with accelerated career track. •Access to an extensive reference library of books, case studies, and best practices. •Unlimited budget for work-related books. •Support for certifications (time to study, sandboxes, all related costs) including AWS, Google, Microsoft, and other technologies. •Special bonuses for certifications acquired. •Online training (Udemy, nanodegrees, etc.), English language training. •Stretch assignments, pair-programming and code reviews with new technologies. •Yearly performance bonus based on personal performance. •Yearly success bonus based on company performance. •Home office setup including fast internet, large monitor, and your favorite keyboard and mouse. •After a few months, gaming chair, espresso maker, standing desk, and speakers (or other items like these). •Monthly wellness budget to cover items such as sodas, tea, snacks, pet care, yoga, or other wellness-related items. •Company card for wellness budget and company expenses. •Private healthcare contribution. •Three floating holidays and unlimited (but reasonable) PTO starting the first year. •Fun company off-sites!

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