Data Engineering Leadership Position
4 days ago
We are seeking a skilled Data Engineer to lead our data engineering initiatives. With at least 8 years of relevant experience in software or data engineering, you will be responsible for designing and implementing large-scale data systems using Python.
Key Responsibilities:
• Develop and maintain high-quality data pipelines using AWS and Kubernetes (K8s).
• Collaborate with cross-functional teams to identify business requirements and develop data solutions that meet those needs.
• Ensure data accuracy, reliability, and security by implementing robust testing and validation processes.
Required Skills and Qualifications:
• Strong experience in unit and integration testing using Python.
• Familiarity with DevOps practices and Agile methodologies.
• Experience in working with data platforms such as Snowflake, Apache Spark, or Apache Hive, as well as orchestration tools like Apache Airflow, Dagster, or Prefect.
• Strong software engineering, analytical, and problem-solving skills.
• Familiarity with GitHub workflows and Datadog.
Benefits:
We offer a dynamic and supportive work environment that fosters growth and innovation. Our team is passionate about leveraging data to drive business decisions, and we're looking for someone who shares that passion.
• Opportunities for professional development and career advancement.
• Collaborative and inclusive team culture.
• Flexible work arrangements to support work-life balance.
About the Role:
This is an excellent opportunity for a motivated and experienced Data Engineer to take on a leadership role in our organization. If you're passionate about data engineering and want to make a meaningful impact, we encourage you to apply.
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