Key skills
AirflowAmazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformPythonScalaSQLData EngineeringSnowflakeRedshiftDatabricksGCPGoogle Cloud
About this role
Role Overview
- Own delivery of production-grade data systems.
- Drive system design for data architecture.
- Ensure high standards for code quality and reliability.
- Translate business needs into technical solutions.
- Collaborate across engineering, product, and data teams.
- Mentor and unblock other engineers.
- Identify and mitigate risks early.
- Improve systems, tools, and processes.
Requirements
- 5+ years of experience in data engineering or related fields
- Strong experience building and maintaining scalable data pipelines (batch and/or streaming)
- Proficiency in SQL and at least one programming language (Python, Scala, or similar)
- Experience with modern data platforms (e.g., Snowflake, BigQuery, Redshift, Databricks)
- Familiarity with orchestration tools (e.g., Airflow, Dagster) and data modeling practices
- Experience with cloud platforms (AWS, GCP, or Azure).
Tech Stack
- Airflow
- Amazon Redshift
- AWS
- Azure
- BigQuery
- Cloud
- Google Cloud Platform
- Python
- Scala
- SQL
Benefits
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development