Key Skills: AWS, Data Bricks, SQL, Python, AWS Cloud

Roles and Responsibilities:

- Design and architect enterprise-grade data analytics solutions on AWS, ensuring alignment with organizational standards and best practices.
- Develop robust data pipelines and validation workflows to support enterprise-scale data processing.
- Provide technical leadership for large-scale data initiatives, setting direction for project teams and delivery plans.
- Serve as a technical liaison across distributed resources and collaborate with stakeholders to translate requirements into scalable solutions.
- Drive governance and security standards for data and analytics platforms, ensuring reliable and compliant implementations.

Skills Required:

- 10- 13 years of relevant experience in data engineering,



data architecture, and software engineering
- AWS (S3, EC2, Lambda, Redshift) for cloud infrastructure and data platform architecture
- Databricks for building and operating data engineering solutions
- Python and SQL for data processing, analytics, and scalable engineering implementations
- API integrations and cloud service configuration with authentication, monitoring, and logging
- Experience with Databricks platform and enterprise data engineering concepts

Positive to Have:
- AWS Cloud experience

Education: Bachelor's Degree in related field

📌 Software Engineering Advisor (Hyderabad)
🏢 MyCareernet
📍 Hyderabad