Key skills
AirflowAmazon RedshiftAzureBigQueryCloudKafkaSparkSQLMLJupyterAnalyticsBISnowflakeRedshiftDatabricksGlueAzure SQLProblem Solving
About this role
Role Overview
- Develop and enhance data and analytics infrastructure
- Collaborate with a growing team in big data computing
- Design and develop scalable, high performant big data infrastructure using Spark, Kafka, Snowflake or similar frameworks
- Build data pipelines, data services, data warehouses, BI and ML platforms
Requirements
- BS or Master’s degree in Computer Science, related degree, or equivalent experience
- 5+ years experience with data-related and data management responsibilities
- Deep expertise in designing and building data warehouses and big data analytics systems
- Practical experience manipulating, analyzing and visualizing data
- Self-driven and motivated, with a strong work ethic and a passion for problem solving
- Professional English proficiency (B2/C1)
- Experience with cloud-based managed services like Airflow, Glue, Elastic stack, Amazon Redshift, Snowflake, BigQuery, Azure SQL Db, EMR, Azure, Databricks, Altiscale or Qubole
- Prior experience with notebooks using Jupyter, Google Collab, or similar.
Tech Stack
- Airflow
- Amazon Redshift
- Azure
- BigQuery
- Cloud
- Kafka
- Spark
- SQL
Benefits
- Paid Time Off
- Mentored Career Development
- U.S. Holidays
- USD Remuneration
- Profit Sharing
- Maternity Coverage
- 100% Remote