About the Role :

We are seeking a highly skilled Senior Data Engineer with strong hands-on experience in AWS Cloud, cloud infrastructure, data ingestion, and Python. The ideal candidate will have a proven track record of designing and implementing scalable data platforms, organizing GCP environments to meet data sovereignty requirements, and building secure and reliable data ingestion and transfer solutions.

Key Responsibilities :

1. AWS Cloud Engineering :

- Work with AWS services such as S3, Glue, Lambda, Redshift, and CloudWatch to build and operate data solutions.

- Apply appropriate security, access-control, and cloud data management practices.

- Optimize cloud workloads for performance, reliability, and cost.

2. Data Ingestion & Pipeline Engineering :

- Design and implement robust data ingestion pipelines for structured and unstructured data sources.

- Build production-grade ingestion frameworks to reliably process and move data into GCP or similar storage.

- Develop scalable and fault-tolerant data pipelines with appropriate validation, monitoring, and error handling.

- Optimize data ingestion workflows for performance, reliability, and cost.

- Ensure data pipelines maintain data quality, integrity, and traceability throughout the ingestion process.

3. Python Development & Automation :

- Develop production-grade data engineering applications and automation using Python.

- Build reusable libraries, services, and utilities to support data ingestion and processing workflows.

- Automate infrastructure and data engineering processes to improve operational efficiency.

- Implement appropriate logging, monitoring, error handling, and testing for Python-based services and pipelines.

4. Collaboration & Ownership :

- Work closely with Data Engineers, Software Engineers, Cloud/Infrastructure Engineers, Security teams, and business stakeholders.

- Take ownership of technical initiatives from architecture and design through production deployment and ongoing support.

Requirements :

- 5+ years of experience in Data Engineering, Cloud Engineering, or a related field.

- Strong hands-on experience with AWS.

- Proven experience designing and implementing AWS architecture and infrastructure for data workloads.

- Good understanding of AWS services.

- Experience with cloud networking, security, authentication, authorization, and access control.

- Experience with infrastructure automation and Infrastructure as Code (IaC), preferably Terraform.

- Strong understanding of data quality, monitoring, observability, and production operational best practices.

- Experience organizing GCP environments to meet data sovereignty and data residency requirements.

- Strong experience building data ingestion pipelines and data processing workflows.

- Hands-on experience designing and implementing secure data transfer and proxy solutions.

- Strong proficiency in Python and experience building production-grade applications and data pipelines.

- Excellent communication skills and ability to work independently with minimal supervision.