Data Engineer at Suvoda

Bucharest, , Romania -

Full Time

Start Date

Immediate

Expiry Date

31 Dec, 25

Salary

0.0

Posted On

02 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AWS, ETL, ELT, Python, SQL, Data Governance, Data Quality, GraphQL, Data Lake, PySpark, CI/CD, Data Modeling, Orchestration, Agile, DevOps

Industry

Pharmaceutical Manufacturing

Description

Data Engineer (Remote - Romania) Department: Product Development Reports to: Manager, Data Engineering Suvoda is seeking a skilled and driven 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 and support near real-time reporting.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 4 years of experience in data engineering, with demonstrated ownership of complex data systems. Solid experience with AWS data lake technologies (S3, Glue, Lake Formation, Athena, Redshift). Understanding of data mesh principles and decentralized data architecture. Proficiency in Python, SQL 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. Hands-on experience in infrastructure-as-code tools (e.g., Terraform, CloudFormation). Expertise in AWS Glue and PySpark for scalable ETL/ELT development. 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. We are aware that an individual(s) are fraudulently representing themselves as Suvoda recruiters and/or hiring managers. Suvoda will never request personal information such as your bank account number, credit card number, drivers license or social security number — or request payment from you — during the job application or interview process. Any emails from the Suvoda recruiting team will come from a @suvoda.com email address. You can learn more about these types of fraud by referring to this FTC consumer alert. As set forth in Suvoda’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you are based in California, we encourage you to read this important information for California residents linked here.

Responsibilities

Design and build domain-oriented data products while supporting near real-time reporting. Build and optimize ETL/ELT pipelines using AWS Glue and PySpark for scalable data processing.