Job Details
- Languages
- English
- Experience
- 7+ years
- Required Skills
- AWSDockerPythonSQLETLGCPKubernetesSnowflakeAirflowAzureREST APIData modeling
Requirements
- 7+ years of experience in data warehousing, database administration, or database development.
- 5+ years of hands-on experience as a Data Engineer using SQL and Python.
- Expertise with cloud-based platforms such as AWS, GCP, or Azure.
- Familiarity with containerization tools like Docker or Kubernetes.
- Proven experience working with large-scale datasets using technologies such as Snowflake, BigQuery, Redshift, Databricks, or similar.
- Strong knowledge of ELT/ETL tools and data integration frameworks, including Airflow, DBT, Python, and REST APIs.
- Solid understanding of data modeling, performance optimization, and pipeline maintainability.
- Excellent English communication skills.
Responsibilities
- Maintain, configure, and optimize cloud-based data warehouse platform.
- Design and implement incremental and batch data integration pipelines.
- Collaborate with development, analytics, and operations teams.
- Explore and integrate new tools, technologies, and best practices.
- Implement and maintain data security, auditing, and monitoring processes.
- Troubleshoot and resolve data-related issues.
- Contribute to data engineering practices and platform capabilities.
