Data Tech Lead
Govserviceshub · govserviceshub.com
AlpharettaLead / Manager10–12 yrsContract
The job in short
Lead data engineering team building Spark and Hadoop data pipelines.
PythonJavaSparkHadoopAWSAzureGCP
Details
- Found
- 22 d ago · posted 2025-10-29
- Location as listed
- Alpharetta, Georgia, United States
- Role
- Data Engineer
- Source
- The company’s own careers site
Full description
Job
Title: Data Tech Lead – 12+ Years
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/GCP)
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.
________________________________________
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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