Data Engineer

Data Engineer

Department: Product Development 

Reports to: Senior Manager, Data Engineering 

Suvoda is seeking a recent graduate with a passion for data and a strong technical foundation to join our Product Development team. This is an opportunity to launch a data engineering career at Suvoda — a global clinical trial technology company where your work directly helps advance human health. 

As a Data Engineer, you’ll join a collaborative team building a modern, cloud-native data platform. You’ll help build domain-oriented data products using GraphQL APIs and contribute to near real-time reporting through AWS DMS replication to Aurora PostgreSQL.

Responsibilities: 

• Assist in implementing a data mesh architecture using GraphQL APIs to expose domain-owned data products. 
• Help build and maintain an AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift. 
• Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark for batch and streaming data workloads. 
• Support AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics. 
• Follow best practices for data governance, quality, observability, and API design. 
• Collaborate with product, engineering, and analytics teams to deliver reliable data solutions. 
• Contribute to CI/CD and automation efforts for data infrastructure and pipelines. 
• Stay curious — explore emerging tools and share ideas that could make our platform even better. 

Requirements: 

• Bachelor’s degree in technical fields such as Computer Science or Mathematics. 
• Strong foundational skills in Python and SQL — you’re comfortable writing queries and scripts from scratch. 
• Academic or project experience with data engineering concepts: pipelines, data modeling, or ETL/ELT workflows. 
• Exposure to cloud platforms, particularly AWS (coursework, personal projects, or internships all count). 
• Familiarity with data structures, distributed systems, or database design — you understand the “why” behind the tools. 
• A collaborative mindset and strong communication skills — you ask good questions and explain your thinking clearly. 
• A genuine enthusiasm for data and a desire to keep learning in a fast-moving environment. 

Nice to Have:

• Master’s degree or relevant certifications. 
• Experience with event-driven architectures (e.g., Kafka, Kinesis). 
• Familiarity with data cataloging and metadata management tools. <