Are you a technical leader with a passion for building cutting-edge data platforms? We're seeking a Sr. Manager, Data Engineering to design and implement a Data Lake and Data Processing platform from the ground up on AWS. This is a unique opportunity to innovate, guide strategy, and lead engineering efforts in a highly technical role.
Key Responsibilities:
Architect and build a robust Data Lake and Data Processing platform using AWS services.
Drive decisions on deployment strategies, testing methodologies, and production environments.
Lead the roadmap for Data Lake development and ensure cost-effective solutions.
Leverage tools like S3, Delta.IO, Glue, Lambda, Kafka, and Firehose to efficiently process and manage data.
Collaborate with stakeholders while maintaining a technical focus on engineering and architecture.
Innovate and optimize processes, ensuring scalable and efficient data practices.
Qualifications:
Strong background in data engineering and software development with a focus on Python (PySpark) and Java.
Hands-on experience with AWS services for data processing and storage.
Deep understanding of data architecture, SDLC, and production strategies.
Experience in data warehousing and migration to AWS environments.
Proven ability to lead technical teams and manage stakeholder relationships.
Preferred Skills:
Expertise in change data capture (Delta.IO) and highly scalable data processing.
Ability to innovate and optimize costing strategies for data platforms.