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_102157 (Hyderabad)
🏢 MyCareernet
📍 Hyderabad