Lead Big Data Engineer

Company Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to leveraging the power of big data to drive transformative change and solve complex problems across industries. We're committed to building cutting-edge big data solutions that enable advanced analytics, machine learning, and business intelligence. Join us and lead our team in shaping the future of big data engineering.

Position Overview: As the Lead Big Data Engineer, you'll be at the forefront of our big data engineering efforts, leading a team of talented engineers to design, build, and maintain our big data infrastructure and pipelines. You'll drive the development of scalable and efficient data solutions that support the needs of our data-driven organization. If you're a seasoned engineer with expertise in big data technologies and a track record of leading successful data projects, we want you on our team.

Requirements

Key Responsibilities:

1. Technical Leadership: Lead a team of big data engineers, providing guidance, mentorship, and technical leadership in big data engineering best practices and technologies.
2. Big Data Infrastructure Design: Lead the design and architecture of our big data infrastructure, including data lakes, data warehouses, and streaming data platforms, ensuring scalability, reliability, and performance.
3. Data Pipeline Development: Lead the development of scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data from diverse sources, ensuring reliability, scalability, and performance.
4. Data Modeling: Lead the design and implementation of data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance in a distributed environment.
5. Data Integration: Lead efforts to integrate data from disparate sources and systems, ensuring data consistency, quality, and completeness throughout the data lifecycle.
6. Performance Optimization: Lead optimization efforts for data pipelines and queries, identifying and addressing bottlenecks and inefficiencies to improve system scalability and reliability.
7. Monitoring and Alerting: Lead the implementation of monitoring and alerting systems to track big data platform performance and health, detecting and mitigating issues proactively to minimize downtime and data loss.
8. Security and Compliance: Lead efforts to implement security controls and data governance policies to ensure data security, privacy, and compliance with regulatory requirements.
9. Documentation and Best Practices: Define and promote best practices for big data engineering, documentation, and usage, ensuring clear and comprehensive documentation to facilitate understanding and collaboration among team members.
10. Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements and deliver big data solutions that meet business needs.
11. Mentorship and Development: Mentor junior engineers, providing guidance, support, and opportunities for growth and development in their big data engineering careers.

Qualifications:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
• 7+ years of experience in big data engineering, with a focus on designing, building, and maintaining big data infrastructure and pipelines.
• Leadership experience, with a demonstrated ability to lead and mentor a team of engineers.
• Proficiency in programming languages such as Java, Scala, or Python, and expertise with big data technologies such as Hadoop, Spark, Kafka, Hive, HBase, and more.
• Strong understanding of distributed systems and parallel processing, with experience designing and optimizing data pipelines for performance and scalability.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with cloud-based big data services such as Amazon EMR, Azure HDInsight, or Google Dataproc.
• Experience with SQL and NoSQL databases, data warehousing, and ETL/ELT processes.
• Strong problem-solving skills and analytical thinking, with the ability to troubleshoot complex data issues and optimize system performance.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.

Benefits

• Competitive salary: The industry standard salary for Lead Big Data Engineers typically ranges from $200,000 to $300,000 per year, depending on experience and qualifications.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities, including access to training programs, conferences, and workshops.
• State-of-the-art technology environment with access to cutting-edge tools and resources.
• Vibrant and inclusive company culture with opportunities for growth and advancement.
• Exciting projects with real-world impact at the forefront of big data innovation.

Join Us: Ready to lead the charge in big data engineering? Apply now to join our team and drive the future of data-driven innovation!