AWS Data Engineer

Role: AWS Data Engineer

Location: Hyderabad

Experience: 3 to 10 years

Employment Type:Full-Time

Work Mode: Hybrid

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• Must have 3–10 years of experience in Data Engineering and AWS-based data solutions.
• Strong hands-on experience with AWS Glue, Lambda, and S3.
• Experience building and optimizing ETL pipelines using Python, SQL, and PySpark.
• Hands-on experience with Terraform for infrastructure provisioning and management.
• Good understanding of cloud-native architectures and data lake concepts.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS services.
• Build and optimize data processing workflows using AWS Glue, Lambda, and S3.
• Develop and manage data ingestion, transformation, and integration processes.
• Implement and maintain cloud infrastructure using Terraform (Infrastructure as Code).
• Develop data processing applications using Python, PySpark, and SQL.
• Work closely with data architects, analysts, and business stakeholders to understand data requirements.
• Ensure data quality, integrity, security, and governance across data platforms.
• Optimize data pipelines for performance, scalability, and reliability.
• Monitor and troubleshoot production data workflows and resolve issues proactively.
• Participate in code reviews, design discussions, and best practice implementation.

Regards,

Manvendra Singh

[Confidential Information]