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Big Data Engineering Lead
2 months ago
At Unreal Gigs, we're seeking a highly skilled Lead Big Data Engineer to join our team and drive the future of data-driven innovation.
Job SummaryWe're looking for a seasoned engineer with expertise in big data technologies and a track record of leading successful data projects. As the Lead Big Data Engineer, you'll be responsible for leading a team of big data engineers, designing and architecting big data infrastructure, and developing scalable and efficient data pipelines.
Key Responsibilities- Technical Leadership: Provide guidance, mentorship, and technical leadership in big data engineering best practices and technologies.
- Big Data Infrastructure Design: Lead the design and architecture of our big data infrastructure, including data lakes, data warehouses, and streaming data platforms.
- Data Pipeline Development: Lead the development of scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
- Data Modeling: Lead the design and implementation of data models and schemas to support analytical and operational requirements.
- Data Integration: Lead efforts to integrate data from disparate sources and systems.
- Performance Optimization: Lead optimization efforts for data pipelines and queries.
- Monitoring and Alerting: Lead the implementation of monitoring and alerting systems to track big data platform performance and health.
- Security and Compliance: Lead efforts to implement security controls and data governance policies.
- Documentation and Best Practices: Define and promote best practices for big data engineering, documentation, and usage.
- Collaboration: Collaborate with cross-functional teams to understand requirements and deliver big data solutions.
- Mentorship and Development: Mentor junior engineers and provide opportunities for growth and development.
- 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.
- 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.
- 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.
