Job Description
Job description
We are looking for a highly skilled Data Engineering and Software Engineering professional to design, build, and optimize our Data Lake and Data Processing platform on AWS. This role requires deep expertise in data architecture, cloud computing, and software development, as well as the ability to define and implement strategies for deployment, testing, and production workflows.Key Responsibilities:Design and develop a scalable Data Lake and data processing platform from the ground up on AWS.Lead decision-making and provide guidance on code deployment, testing strategies, and production environment workflows.Define the roadmap for Data Lake development, ensuring efficient data storage and processing.Oversee S3 data storage, Delta.io for change data capture, and AWS data processing services.Work with Python and PySpark to process large-scale data efficiently.Implement and manage Lambda, Glue, Kafka, and Firehose for seamless data integration and processing.Collaborate with stakeholders to align technical strategies with business objectives, while maintaining a hands-on engineering focus.Drive innovation and cost optimization in data architecture and cloud infrastructure.Provide expertise in data warehousing and transitioning into modern AWS-based data processing practices
We are looking for a highly skilled Data Engineering and Software Engineering professional to design, build, and optimize our Data Lake and Data Processing platform on AWS. This role requires deep expertise in data architecture, cloud computing, and software development, as well as the ability to define and implement strategies for deployment, testing, and production workflows.Key Responsibilities:Design and develop a scalable Data Lake and data processing platform from the ground up on AWS.Lead decision-making and provide guidance on code deployment, testing strategies, and production environment workflows.Define the roadmap for Data Lake development, ensuring efficient data storage and processing.Oversee S3 data storage, Delta.io for change data capture, and AWS data processing services.Work with Python and PySpark to process large-scale data efficiently.Implement and manage Lambda, Glue, Kafka, and Firehose for seamless data integration and processing.Collaborate with stakeholders to align technical strategies with business objectives, while maintaining a hands-on engineering focus.Drive innovation and cost optimization in data architecture and cloud infrastructure.Provide expertise in data warehousing and transitioning into modern AWS-based data processing practices
💡 Quick Summary
Seeking a career-building opportunity? The Senior Manager Data Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Atlanta offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.