This role is ideal for a seasoned skilled with experience in data engineering, team leadership, and project management. As a Lead AWS Data Engineer, you will be responsible for architecting scalable data solutions, leading engineering teams, and ensuring alignment with business objectives.
Roles and Responsibilities
- Provide technical leadership and mentorship to data engineering teams.
- Architect, design, and deploy scalable, secure, and high-performance data pipelines.
- Collaborate with stakeholders, clients, and cross-functional teams to deliver end-to-end data solutions.
- Drive technical strategy and implementation plans in alignment with business needs.
- Oversee project execution using tools like JIRA, ensuring timely delivery and adherence to best practices.
- Implement and maintain CI/CD pipelines and automation tools to streamline development workflows.
- Promote best practices in data engineering and AWS implementations across the team.
Required Skills
- Strong hands-on expertise in Python, PySpark, and Spark architecture, including performance tuning and optimization.
- Advanced proficiency in SQL and experience in writing optimized stored procedures.
- In-depth knowledge of the AWS data engineering stack, including:
AWS Glue, Lambda, API Gateway, EMR, S3, Redshift, Athena
- Experience with Infrastructure as Code (IaC) using CloudFormation and Terraform.
- Familiarity with Unix/Linux scripting and system administration is a plus.
- Proven ability to design and deploy robust, production-grade data solutions.
📌 Lead Data Engineer – AWS (India)
🏢 TechVariable
📍 India
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