Key skills
AWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQLTableauBashELTData EngineeringBIPower BISnowflakeDatabricksdbtFivetranGCPGoogle CloudServerless
About this role
Role Overview
- Assist in the design, build, and deployment of cloud data platforms, including data lakehouses and warehouses
- Support the implementation of ETL/ELT data pipelines and scheduled jobs using tools like Spark, Databricks notebooks, and a managed service like Fivetran
- Work on leveraging managed and serverless cloud offerings for application solutions and data pipelines
- Assist in adhering to basic data security and governance policies
- Assist in generating insights and reports using BI tools such as Tableau and Power BI
Requirements
- 2–4 years of foundational experience in data engineering and related roles/internships
- Proficiency in Python and SQL, with familiarity in Bash scripting and concepts like dbt
- Familiarity with ETL/ELT concepts and best practices
- Familiarity with the Medallion Architecture (Bronze, Silver, and Gold layers)
- Hands‑on know‑how in 2–3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric)
Tech Stack
- AWS
- Azure
- Cloud
- ETL
- Google Cloud Platform
- Python
- Spark
- SQL
- Tableau
Benefits
- Fully remote
- Flexible schedule
- Paid parental and bereavement leave
- Worldwide recognized clients to build skills for an excellent resume
- Top‑notch team to learn and grow with