Job Summary
Key Responsibilities
2. Define And Govern Data Warehousing Strategies Leveraging Amazon Redshift, Optimizing Data Models, Performance, And Scalability For Large-Scale Analytics Workloads.
3. Architect And Oversee Automation Of Data Pipelines Using Python And Aws Devops Tools, Ensuring Reliability, Security, And Operational Excellence Across The Data Platform.
4. Establish And Enforce Architectural Standards, Governance Frameworks, And Best Practices For Aws-Based Data Solutions, Ensuring Adherence To Regulatory And Organizational Requirements.
5. Collaborate With Business Stakeholders To Translate Complex Requirements Into Scalable Technical Solutions, Driving Innovation And Alignment With Strategic Objectives.
6. Mentor And Develop Technical Teams In Advanced Aws Data Technologies, Fostering Continuous Learning And Ensuring Delivery Capability For Evolving Business Needs.
7. Review And Approve Architecture And Design Deliverables, Providing Expert Guidance To Ensure Technical Excellence And Future-Proofing Of Data Solutions.
Skill Requirements
2. Expert Proficiency In Amazon Redshift For Data Warehousing, Modeling, And Optimization.
3. Advanced Expertise In Python For Data Engineering And Automation Within Aws Environments.
4. Solid Experience With Aws Devops Tools (E.G., Cloudformation, Codepipeline, Lambda) For Ci/Cd And Infrastructure Automation.
5. InDepth Understanding Of Data Governance, Security, And Compliance In CloudBased Architectures.
6. Excellent Ability To Translate Business Requirements Into Scalable Aws Data Solutions.
Other Requirements
2. Aws Certified Data Analytics � Specialty (Optional But Valuable)
3. Aws Certified Devops Engineer � Professional (Optional But Valuable