Key skills
PythonSQLData EngineeringETL/ELT WorkflowsData ModelingAWSAWS GlueAWS S3AWS Lake FormationAWS AthenaAWS RedshiftAWS DMSAurora PostgreSQLGraphQL APIsData GovernanceData QualityData ObservabilityETLELTData LakeAnalyticsRedshiftKafkaGraphQLS3GlueAthenaKinesisPostgreSQLAgileCI/CDCommunication
About this role
Suvoda is a global clinical trial technology company seeking a recent graduate to join their Product Development team as a Data Engineer. In this role, you'll be responsible for building a modern cloud-native data platform and contributing to data engineering efforts using GraphQL APIs and AWS technologies.
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
- Master's degree or relevant certifications
- Experience with event-driven architectures (e.g., Kafka, Kinesis)
- Familiarity with data cataloging and metadata management tools
- Awareness of data privacy and compliance standards (e.g., GDPR, HIPAA)
- Exposure to agile development and DevOps practices