Data Integration Engineer

3 weeks ago

Los Angeles, United States Fugetron Corp Full time
Job DescriptionJob Description

Job Summary:
We are looking for a highly skilled and proactive Data Integration Engineer to join our dynamic team. The ideal candidate will have expertise in AWS architecture, ETL orchestration, Python programming, and data pipeline management, with a focus on minimizing data quality issues and building safeguards for pipeline failures. This role will require a detail-oriented, organized, and disciplined individual who excels at collaboration, communication, and delivering high-quality solutions on time.
Key Responsibilities:
• Design, implement, and maintain scalable, resilient, and reliable data integration solutions using AWS services, including Lambda functions and ETL orchestration.
• Develop, monitor, and troubleshoot Kafka messaging streams, ensuring seamless data sourcing and production.
• Write clean, efficient, and reusable Python code, applying design patterns to create maintainable and efficient data pipelines.
• Build and manage data pipelines with strong safeguards to prevent failures and ensure data quality using tools such as Datadog.
• Collaborate with cross-functional teams, including data engineers, analysts, and product managers, to enhance and scale our data platform.
• Implement processes to identify and mitigate data quality issues across multiple sources.
• Participate in Scrum ceremonies and contribute to the agile process by following best practices, maintaining transparency, and tracking progress in JIRA.
• Take a proactive approach to problem-solving and deliver solutions within defined timelines, ensuring the highest levels of quality.
• Continuously seek new opportunities to optimize the data platform for performance, scalability, and resilience.
• Contribute to team knowledge-sharing and process improvement initiatives.
Qualifications:
• Strong expertise in AWS architecture (e.g., Lambda, EC2, S3, Glue, RDS, etc.).
• Proficiency in Python programming, with a focus on applying design patterns to create efficient, scalable, and reusable code.
• Experience with Kafka messaging systems for data integration.
• Deep understanding of ETL orchestration and pipeline management.
• Strong logical, analytical, and problem-solving skills.
• Experience building and maintaining data pipelines, with an understanding of failure modes and strategies to mitigate data quality issues using monitoring tools like Datadog.
• Excellent organizational skills and attention to detail, with the ability to manage multiple priorities and deliver on time.
• Strong communication skills to collaborate effectively with cross-functional teams.
• Familiarity with Scrum/Agile methodologies and experience using JIRA to manage work.
• A proactive, disciplined, and results-oriented approach to work.
Preferred Qualifications:
• Familiarity with CI/CD practices and DevOps tools.
• Knowledge of data governance and security best practices.

Onsite Los Angeles

NO PASSTHROUGHS

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