Elevate your career as a Senior Data Developer, leveraging advanced Python and SQL skills in a dynamic data environment. Build production-grade pipelines and contribute to real-time streaming architectures.
In this role, you will utilize your expertise in Python, SQL, and modern data warehouses like Snowflake to create scalable solutions. You will also employ orchestration tools such as Airflow or Dagster while mentoring junior team members and collaborating across departments.
Key Responsibilities:
• Build and maintain production-grade data pipelines
• Implement real-time streaming architectures with Kafka or Kinesis
• Scale automated monitoring and data quality frameworks
• Apply strong software engineering practices and robust testing
• Collaborate effectively as a technical mentor across teams
Requirements:
• Advanced proficiency in Python and SQL
• Experience with modern data warehouses, particularly Snowflake
• Proven track record using Airflow or Dagster
• Familiarity with real-time data streaming tools
• Strong knowledge of CI/CD practices and software engineering
Utilize your data skills to drive impactful solutions as a Senior Data Developer.
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