Hi,
Hope you are doing well,
Role: Lead AWS Data Engineer
Location: Atlanta, GA (Hybrid from Day 1)
Duration: 12 Months
Location: Atlanta, GA (Hybrid from Day 1)
Duration: 12 Months
Must Have skills:
• Spark – 8 years
• AWS Cloud – 8 years
• Python – 8 years
• Glue – 8 years
Job description:
This role requires 8-10 years of experience with a proven track record in leading teams and managing complex data engineering projects. As a Lead AWS Data Engineer, you'll lead our data engineering initiatives, architect scalable and reliable data solutions, and drive technical strategies aligned with business goals. You'll closely collaborate with stakeholders, clients, and cross-functional teams to deliver comprehensive data solutions from conception through production deployment. Key responsibilities include providing technical leadership, mentorship to engineering teams, and ensuring best practices in data engineering and AWS implementations.
• Spark – 8 years
• AWS Cloud – 8 years
• Python – 8 years
• Glue – 8 years
Job description:
This role requires 8-10 years of experience with a proven track record in leading teams and managing complex data engineering projects. As a Lead AWS Data Engineer, you'll lead our data engineering initiatives, architect scalable and reliable data solutions, and drive technical strategies aligned with business goals. You'll closely collaborate with stakeholders, clients, and cross-functional teams to deliver comprehensive data solutions from conception through production deployment. Key responsibilities include providing technical leadership, mentorship to engineering teams, and ensuring best practices in data engineering and AWS implementations.
Technical Skills:
• Extensive expertise in Python, PySpark, Spark architecture, and deep experience with performance tuning and optimization.
• Advanced proficiency in designing and writing optimized, performant SQL queries and stored procedures.
• Comprehensive expertise in AWS data engineering stack, including Glue, Lambda, API Gateway, EMR, S3, Redshift, and Athena.
• Proven experience in architecting and deploying scalable, secure, and high-performance data pipelines and solutions.
• Experience in managing Infrastructure as Code (IaC) using AWS CloudFormation and Terraform.
• Hands-on experience with CI/CD pipelines and automation tools.
• Good to have working knowledge and experience with Unix/Linux scripting and administration.
• Extensive expertise in Python, PySpark, Spark architecture, and deep experience with performance tuning and optimization.
• Advanced proficiency in designing and writing optimized, performant SQL queries and stored procedures.
• Comprehensive expertise in AWS data engineering stack, including Glue, Lambda, API Gateway, EMR, S3, Redshift, and Athena.
• Proven experience in architecting and deploying scalable, secure, and high-performance data pipelines and solutions.
• Experience in managing Infrastructure as Code (IaC) using AWS CloudFormation and Terraform.
• Hands-on experience with CI/CD pipelines and automation tools.
• Good to have working knowledge and experience with Unix/Linux scripting and administration.
Soft Skills:
• Demonstrated experience leading technical teams, driving technical decisions, and mentoring junior to senior-level engineers.
• Exceptional ability to translate complex business/functional and technical requirements into clearly articulated strategies and implementation plans.
• Excellent problem-solving skills with a strategic mindset and attention to detail.
• Superior communication and interpersonal skills, capable of presenting technical concepts effectively to diverse stakeholders.
• Comfortable managing and prioritizing multiple projects simultaneously in a dynamic, fast-paced environment.
• Proven ability to deliver high-quality, timely results with strong accountability and ownership.
• Strive to provide technical leadership, mentorship to engineering teams, managing tasks and projects using JIRA, overseeing team management, and ensuring best practices in data engineering and AWS implementations.
• Demonstrated experience leading technical teams, driving technical decisions, and mentoring junior to senior-level engineers.
• Exceptional ability to translate complex business/functional and technical requirements into clearly articulated strategies and implementation plans.
• Excellent problem-solving skills with a strategic mindset and attention to detail.
• Superior communication and interpersonal skills, capable of presenting technical concepts effectively to diverse stakeholders.
• Comfortable managing and prioritizing multiple projects simultaneously in a dynamic, fast-paced environment.
• Proven ability to deliver high-quality, timely results with strong accountability and ownership.
• Strive to provide technical leadership, mentorship to engineering teams, managing tasks and projects using JIRA, overseeing team management, and ensuring best practices in data engineering and AWS implementations.
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