Posted:1 week ago|
Platform:
Work from Office
Full Time
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.
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.
MetaforgeIT solutions
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