Senior Data Engineer

Senior Data Engineer (Remote - Romania)

Department: Product Development

Reports to: Manager, Data Engineering

Suvoda is seeking a skilled and driven Senior Data Engineer to help evolve our data platform towards a data mesh architecture. In this role, you’ll design and build domain-oriented data products exposed via GraphQL APIs and support near real-time reporting through AWS DMS replication to Aurora PostgreSQL.

You’ll work on building and optimizing ETL/ELT pipelines using AWS Glue and PySpark, ensuring scalable, high-performance data processing across our platform.

Responsibilities:

• Contribute to the design and implementation of a data mesh architecture using GraphQL APIs to expose domain-owned data products.


• Build and maintain a modern AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift.


• Develop and optimize ETL/ELT pipelines using AWS Glue and PySpark to support batch and streaming data workloads.


• Implement AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics and reporting.


• Support data governance, quality, observability, and API design best practices.


• Collaborate with product, engineering, and analytics teams to deliver robust, reusable data solutions.


• Contribute to automation and CI/CD practices for data infrastructure and pipelines.


• Stay current with emerging technologies and industry trends to help evolve the platform.

Requirements:

• Bachelor’s degree in a technical field such as Computer Science or Mathematics.


• At least 5 years of experience in data engineering, with demonstrated ownership of complex data systems.


• Experience working with GraphQL APIs for data access.


• Strong expertise in AWS Glue and PySpark for scalable ETL/ELT development.


• Solid experience with AWS data lake technologies (S3, Glue, Lake Formation, Athena, Redshift).


• Hands-on experience with AWS DMS and Aurora PostgreSQL for real-time data replication.


• Understanding of data mesh principles and decentralized data architecture.


• Proficiency in Python, SQL, and infrastructure-as-code tools (e.g., Terraform, CloudFormation).


• Experience with data modeling, orchestration tools (e.g., Airflow), and CI/CD pipelines.


• Strong communication and collaboration skills.

Preferred Qualifications:

• Master’s degree, especially with a focus on data engineering, distributed systems, or cloud architecture.


• Experience with event-driven architectures (e.g., Kafka, Kinesis).


• Familiarity with data cataloging and metadata management tools.


• Knowledge of data privacy and compliance standards (e.g., GDPR, HIPAA).


• Background in agile development and DevOps practices.