Remote Lead Cloud Data Engineer

Description:

• Lead the design, development, and optimization of cloud data solutions using platforms like AWS, Azure, or Google Cloud Platform.
• Provide technical leadership and mentorship to a team of cloud data engineers, fostering a culture of excellence and collaboration.
• Architect robust data ingestion pipelines from various sources into cloud storage for efficient and reliable data processing.
• Design and optimize data storage solutions using cloud-native services to balance performance, cost, and scalability requirements.
• Implement data processing pipelines using frameworks like Apache Spark or Google Dataflow for real-time and batch data processing.
• Establish data governance policies to ensure data quality, security, and compliance in cloud environments.
• Optimize data pipelines for performance, scalability, and cost-effectiveness using cloud-native features.
• Collaborate with cross-functional teams to deliver cloud data solutions that meet business needs.
• Mentor and coach junior engineers, fostering a culture of continuous learning and improvement within the team.

Requirements:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field.
• 8+ years of experience in data engineering with a focus on cloud data technologies.
• Proven leadership experience in leading cloud data engineering teams and delivering complex data projects.
• Expertise in cloud platforms like AWS, Azure, or GCP and proficiency in cloud-native services for data storage, processing, and analytics.
• Strong programming skills in Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink.
• Experience with cloud-native data processing services such as AWS Glue, Azure Data Factory, or Google Dataflow.
• Strong problem-solving skills, analytical thinking, and the ability to troubleshoot complex cloud data solutions.
• Excellent communication and collaboration skills to convey technical concepts to non-technical stakeholders.

Benefits:

• Competitive salary ranging from $200,000 to $300,000 per year.
• Comprehensive benefits package including health insurance, retirement plans, and wellness programs.
• Flexible work arrangements with remote work options and flexible hours.
• Generous vacation and paid time off.
• Professional development opportunities with access to training programs, conferences, and workshops.
• State-of-the-art technology environment with cutting-edge tools and resources.
• Vibrant and inclusive company culture with growth and advancement opportunities.
• Exciting projects with real-world impact at the forefront of data-driven innovation.