Apply📍 OR, WA, CA, CO, TX, IL
🧭 Contract
💸 65.0 - 75.0 USD per hour
🔍 Music industry
- Proficiency in data integration and ETL processes.
- Knowledge of programming languages such as Python, Java, or Javascript.
- Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
- Understanding of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake).
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
- Experience with marketing automation platforms.
- Experience with data warehouses in a marketing context.
- Knowledge of API integration and data exchange formats such as JSON, XML, and CSV.
- Design, develop, and maintain data pipelines to ingest, process, and store data.
- Implement data validation and quality checks to maintain the integrity of incoming data.
- Optimize and automate data workflows to improve efficiency and reduce manual intervention.
- Work closely with the product, engineering, marketing and analytics teams to support data-driven decision-making.
- Develop and maintain documentation related to data processes, workflows, and system architecture.
- Troubleshoot and resolve data-related issues promptly to minimize disruptions.
- Monitor and enhance the performance of data infrastructure, ensuring scalability and reliability.
- Stay updated with industry trends and best practices in data engineering to apply improvements.
AWSPythonApache AirflowETLGCPMySQLSnowflakeApache KafkaAzureJSON
Posted 16 days ago
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