Description:

Lead a team of big data engineers in designing, building, and maintaining big data infrastructure and pipelines.
Drive the development of scalable and efficient data solutions supporting the organization's data-driven needs.
Design and implement data models and schemas for analytical and operational requirements.
Integrate data from various sources, ensuring consistency, quality, and completeness.
Optimize data pipelines and queries to improve system scalability and reliability.
Implement monitoring and alerting systems to track platform performance and health.
Ensure data security, privacy, and compliance with regulatory requirements.
Define best practices for big data engineering, documentation, and usage.
Collaborate with cross-functional teams to deliver big data solutions meeting business needs.
Mentor junior engineers, providing guidance and support for their career development.

Requirements:

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
7+ years of experience in big data engineering, focusing on infrastructure and pipelines.
Leadership experience with the ability to mentor a team.
Proficiency in Java, Scala, or Python, and expertise in big data technologies like Hadoop, Spark, Kafka, Hive, HBase, etc.
Strong understanding of distributed systems, parallel processing, and optimizing data pipelines.
Experience with cloud platforms (AWS, Azure, Google Cloud) and related services.
Familiarity with SQL, NoSQL databases, data warehousing, and ETL/ELT processes.
Problem-solving skills, analytical thinking, and effective communication abilities.

Competitive salary ranging from $200,000 to $300,000 per year.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous vacation and paid time off.
Professional development opportunities including training programs and conferences.
State-of-the-art technology environment with cutting-edge tools.
Vibrant and inclusive company culture with growth opportunities.
Exciting projects with real-world impact in big data innovation.