Overview
On Site
HybridAlpharetta, Georgia
Contract - W2
Skills
Required Skills and Experience 10+ years of overall
Job Details
Job Title: Data Tech Lead ? 12+ Years
Location: Alpharetta, Georgia
Location: Alpharetta, Georgia
Mandatory Areas
Must Have Skills ?
Skill 1 ? Yrs of Exp ? Python
Skill 2 ? Yrs of Exp ? Spark
Skill 3 ? Yrs of Exp ? Hadoop
Skill 4 ? Yrs of Exp - Cloud (AWS/Azure/Google Cloud Platform)
Must Have Skills ?
Skill 1 ? Yrs of Exp ? Python
Skill 2 ? Yrs of Exp ? Spark
Skill 3 ? Yrs of Exp ? Hadoop
Skill 4 ? Yrs of Exp - Cloud (AWS/Azure/Google Cloud Platform)
Position Summary
We are seeking an experienced Data Tech Lead with strong hands-on expertise in data engineering and large-scale data processing applications. The ideal candidate will have extensive experience in Java and Python development, combined with proven leadership in guiding teams to deliver efficient and scalable data solutions.
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Key Responsibilities
? Build and optimize data processing applications using Java and Python.
? Lead a team of developers in data engineering projects, providing technical guidance and oversight.
? Design, develop, and optimize Spark-based solutions for large-scale data tasks.
? Oversee the development of efficient, reliable, and high-performing data pipelines.
? Manage and support the implementation of Hadoop, HDFS, and other cloud Big Data technologies.
? Ensure best practices in coding, testing, and deployment for all data engineering initiatives.
________________________________________
We are seeking an experienced Data Tech Lead with strong hands-on expertise in data engineering and large-scale data processing applications. The ideal candidate will have extensive experience in Java and Python development, combined with proven leadership in guiding teams to deliver efficient and scalable data solutions.
________________________________________
Key Responsibilities
? Build and optimize data processing applications using Java and Python.
? Lead a team of developers in data engineering projects, providing technical guidance and oversight.
? Design, develop, and optimize Spark-based solutions for large-scale data tasks.
? Oversee the development of efficient, reliable, and high-performing data pipelines.
? Manage and support the implementation of Hadoop, HDFS, and other cloud Big Data technologies.
? Ensure best practices in coding, testing, and deployment for all data engineering initiatives.
________________________________________
Requirements
Required Skills and Experience
? 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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