AWS Data Engineer/Manager

Job Overview :

We are looking for an experienced AWS Data Engineer to lead and deliver scalable, enterprise-grade

data engineering solutions on AWS. This role is suitable for Manager 1 (8 to 10 years) and Manager 2

(10 to 12 years) professionals with strong hands-on expertise in AWS data services, Python,
PySpark, SQL, and Apache Iceberg. The candidate will be responsible for building robust data
pipelines, driving technical excellence, and collaborating with business and technical stakeholders.

Key Responsibilities :

- Design, develop, and maintain end-to-end data pipelines using AWS Glue, Amazon S3, Amazon

- Build scalable batch and incremental processing frameworks using Python and PySpark.

- Implement and manage Apache Iceberg based data lakehouse solutions (table design, partitioning, compaction, and maintenance).

- Develop and optimize complex SQL queries for analytics, reporting, reconciliation, and data validation.

- Ensure solutions meet performance, scalability, security, and reliability standards; enforce data quality controls.

- Lead technical design discussions, code reviews, and adoption of engineering best practices and

- Translate business requirements into efficient and scalable technical solutions and delivery plans.

- Troubleshoot production issues, perform root-cause analysis, and drive fixes and preventive actions.

- Work in an Agile delivery environment and support CI/CD practices and release governance.

- Mentor team members, provide technical guidance, and contribute to the overall technical growth of the team.

Required Skills and Qualifications

Experience and Education :

- Bachelor's degree in Computer Science, Engineering, or equivalent.

- 8 to 12 years of experience in Data Engineering roles (Manager 1 : 8 to 10 years; Manager 2 : 10 to

Technical Skills :

- Strong hands-on experience with AWS Glue, Amazon Redshift, Amazon S3, and AWS Lambda.

- Strong command over SQL, including query tuning and performance optimization.

- Hands-on experience with Apache Iceberg for lakehouse implementations.

- Solid understanding of data warehousing, big data, and cloud data architectures.

Leadership and Soft Skills :

- Ability to lead teams and take ownership of delivery outcomes.

- Strong analytical and problem-solving skills with excellent debugging capability.

- Effective communication with technical and non-technical stakeholders, including clients and senior leadership.

Good to Have :

- Experience with CI/CD pipelines and DevOps practices.

- Exposure to real-time or streaming data processing patterns.

- Knowledge of cloud cost optimization and data security best practices.

Work Model : Hyderabad, Work from Office only. Full-time role.