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SeniorFull-timePythonAWSKubernetesAI
Salary Range
$103,428 - $139,932 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
Our team is responsible for the data and data infrastructure that processes billions of records daily, driving critical business insights for both internal and external customers across the organization.
Key Responsibilities
- →Build, maintain, and optimize data infrastructure
- →Contribute to the evolution of our AWS-based infrastructure
- →Work with database technologies – Snowflake, Iceberg, Trino, Athena, and Glue
- →Utilize Airflow, Spark, Kubernetes, ArgoCD and AWS
- →Provide AI tools to ease data access for our customers
- →Integrate external tools such as for anomaly detection or data sources ingestion
- →Use AI to accelerate your development
- →Assure the quality of the infra by employed QA automation methods
Requirements
- ✓5+ years of experience as a Data Engineer, or Backend Developer
- ✓Experience with Big Data and cloud-based environments, preferably AWS
- ✓Experience with Spark and Airflow
- ✓Experience with Snowflake, Databrick, BigQuery or Iceberg
- ✓Strong development experience in Python
- ✓Knowledge of Scala for Spark is a plus
- ✓A team player that cares about the team, the service, and his customers
- ✓Strong analytical skills
