JOBILY AI SUMMARY
What you'll do
- Guide projects from design through delivery and provide technical consultation
- Lead, mentor, and coach junior team members while managing deliverables and quality
- Collaborate with clients in workshops to validate requirements and architect Cloud BI/DWH applications
- Design, build, test, and deploy advanced ETL processes using data analysis
- Ensure the quality of technical designs and deliverables and implement process improvements
Key requirements
- 5+ years' experience
- Cloud data engineering, data engineering, and cloud data platforms
- SQL, Python, and PySpark
- Data pipelines, ETL, and data warehousing
- DevOps and CI/CD
- Data visualization
- Project management methodologies and data analysis
- Computer Science / Any Field
Benefits
- Competitive salary and benefits including insurance, performance-based bonuses, vouchers, flexible work arrangements, parental leave, paid overtime when needed, and corporate discounts.
- The company provides continuous training, career coaching, mentorship, and opportunities across clients, industries, and projects.
About the job
As a Senior Cloud Data Engineer at Accenture, you will play a key role in designing and delivering modern cloud-based data platforms that power analytics, AI, and business innovation. You’ll partner with clients and cross-functional teams to transform raw business requirements into scalable…



