Job Overview
We are seeking an experienced and innovative Lead Big Data Engineer to join our dynamic team in a fully remote capacity. In this leadership role, you will be instrumental in driving our big data initiatives, ensuring that our data infrastructure and pipelines are effectively designed and maintained to support our data-driven objectives.
Key Responsibilities
- Provide technical leadership and mentorship to a team of skilled big data engineers, fostering an environment of continuous learning and collaboration.
- Architect and design robust big data systems, such as data lakes and warehouses, ensuring scalability and operational reliability.
- Develop and optimize efficient data pipelines capable of handling extensive volumes of both structured and unstructured data.
- Create and implement data models and schemas that align with analytical and operational requirements, prioritizing data integrity.
- Integrate diverse data sources seamlessly, maintaining high standards of quality and consistency throughout the data lifecycle.
- Proactively enhance data pipeline performance, identifying and resolving any bottlenecks that may hinder efficiency.
- Establish comprehensive monitoring and alerting systems to ensure platform health and swift issue resolution.
- Implement stringent security measures and data governance policies to uphold data privacy and regulatory standards.
- Document best practices in big data engineering to facilitate clear communication across teams.
- Collaborate with data scientists, software engineers, and business stakeholders to design solutions that fulfill organizational goals.
- Lead the professional development of junior engineers, providing them with mentorship and growth opportunities.
Required Skills
- Proficiency in programming languages such as Java, Scala, or Python.
- In-depth experience with big data technologies including Hadoop, Spark, Kafka, Hive, and HBase.
- Strong understanding of distributed systems and parallel processing, with a focus on optimizing data pipelines.
- Familiarity with cloud service providers like AWS, Azure, or Google Cloud Platform and their respective big data offerings.
- Solid experience with SQL and NoSQL databases, as well as data warehousing and ETL/ELT methodologies.
- Excellent analytical and problem-solving abilities, capable of navigating complex data challenges.
- Exceptional communication skills to collaborate effectively with cross-functional teams.
Qualifications
- Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related discipline.
- A minimum of 7 years’ experience in big data engineering, demonstrating a strong background in constructing and managing big data systems.
- Proven track record of leadership and mentoring within engineering teams.
Career Growth Opportunities
Joining our organization means stepping into a role that not only challenges you but also offers ample opportunities for professional development and advancement. Engage in impactful projects that enhance your skills and elevate your career trajectory.
Company Culture And Values
We pride ourselves on cultivating a vibrant and inclusive culture that values innovation and collaboration. Our commitment to diversity and professional growth creates an environment where every employee can thrive.
Networking and Professional Opportunities
As part of our team, you will have access to extensive networking opportunities both internally and externally, enabling you to collaborate with industry leaders and peers while enhancing your skill set.
Compensation And Benefits
- Competitive salary ranging from \(200,000 to \)300,000 annually, commensurate with experience and qualifications.
- Comprehensive health coverage including dental and vision insurance.
- Flexible working hours and remote work options.
- Generous vacation and paid time off policies.
- Opportunities for professional growth, including training, conferences, and workshops.
- Access to cutting-edge tools and technology, within a supportive and engaging work environment.
- Contribute to meaningful projects that push the boundaries of big data innovation.
Join Us
Are you ready to elevate your career and lead the future of big data engineering? We invite you to apply and embark on a transformative journey with us.
Employment Type: Full-Time