Data Tech Lead
On-siteAlpharetta, Georgia, United States
Job Summary
Build and optimize data processing applications using Java and Python while designing, developing, and optimizing Spark-based solutions for large-scale data tasks. Lead a team of developers in data engineering projects, providing technical guidance and oversight to ensure best practices in coding, testing, and deployment. Oversee the development of efficient, reliable, and high-performing data pipelines and manage the implementation of Hadoop, HDFS, and cloud Big Data technologies. This role requires 10+ years of professional experience in software and data engineering, with deep expertise in Apache Spark and Hadoop ecosystems.
Required Qualifications
- 10+ years of overall professional experience in software and data engineering
- Hands-on experience in building and optimizing data processing applications using Java and Python
- Deep understanding of Apache Spark for large-scale data processing and optimization
- Comprehensive knowledge of Hadoop, HDFS, and cloud-based Big Data technologies
- Proven experience in leading and mentoring teams of developers to deliver end-to-end data solutions
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