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Data Engineer, Machine Learning
SafetyCulture. Empower the Data Analytics team with the right data model for their needs .
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSCloudPythonScalaSparkTerraform
About the role
Key responsibilities & impact- Empower the Data Analytics team with the right data model for their needs
- Collaborate with different stakeholders across the business (Finance/Marketing/Sales)
- Turn billions of rows of source data into highly valuable datasets and data products.
- Integrate different systems and datasets from differing business contexts.
Requirements
What you’ll need- Experience with data engineering architecture and cloud based solutions for big data.
- Python or Scala - Comfort of writing solutions for scalable pipelines in Apache Spark.
- Data Orchestration tools such as Apache Airflow.
- AWS Infrastructure Experience (Terraform, EMR, S3, Glue).
- Data warehouse experience (Redshift, Databricks or Snowflake).
- Curiosity and self-drive to continuously learn new techniques and tools to extract value from data.
- High level of comfort with ambiguity and ability to work in a fast-paced, agile environment in which you rapidly adapt and learn for any given business problem.
Benefits
Comp & perks- catered lunches
- team events
- cool merch
- dogs in the office
- equity - real skin in the game
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineering architecturecloud based solutionsPythonScalaApache Sparkdata orchestrationApache AirflowAWSTerraformdata warehouse
Soft Skills
curiosityself-driveadaptabilitycomfort with ambiguityability to work in fast-paced environment