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.
- Solid 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 [email protected]

📌 AWS Data Engineer (Hyderabad)
🏢 Incedo
📍 Hyderabad