Data Engineer – Regulatory Affairs & Quality Medicine
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Job Summary
- Design develop and maintain scalable ETL/ELT pipelines and data integrations using Python/PySpark SQL AWS and Snowflake.
- Work with AWS services (S3 Lambda Glue) and Snowflake for data ingestion transformation modeling and performance optimization.
- Support data integration workflows including SnapLogic where applicable.
- Implement coding best practices version control (Git) CI/CD processes and automated testing.
- Ensure data quality governance lineage and metadata management across data solutions.
- Monitor troubleshoot and optimize data pipelines in cloud-based distributed and containerized environments.
- Collaborate with cross-functional teams taking ownership of delivery from requirements gathering through deployment and ongoing support.
- Bachelors or Masters degree in Computer Science Engineering Data/Information Systems or a related field.
- Over 5 years of professional experience in Data Engineering Analytics Engineering or similar data-focused roles including hands-on development and maintenance of cloud-based data pipelines in production environments.
- Strong programming skills in Python/PySpark and SQL including data transformation and optimization.
- Practical experience with AWS (S3 Lambda Glue) in production environments.
- Hands-on experience with Snowflake including data warehousing modeling ingestion and performance optimization.
- Solid understanding of ETL/ELT architectures data modeling Git CI/CD automated testing and production monitoring.
- Familiarity with data governance data quality metadata management and data lineage.
- Strong communication skills fluent English and a proactive autonomous problem-solving mindset.
- Experience with SnapLogic or other iPaaS integration platforms.
- Familiarity with Collibra or similar data governance and metadata management tools.
- Experience working in Agile environments and with containerized or distributed data solutions.
- Spanish language skills.
- Previous experience in pharmaceutical Regulatory Affairs or Quality Medicine data domains.
- Duration: 612 months.
- Working model: Fully remote.
Required Skills:
Mandatory Bachelors or Masters degree in Computer Science Engineering Data/Information Systems or a related field. Over 5 years of professional experience in Data Engineering Analytics Engineering or similar data-focused roles including hands-on development and maintenance of cloud-based data pipelines in production environments. Strong programming skills in Python/PySpark and SQL including data transformation and optimization. Practical experience with AWS (S3 Lambda Glue) in production environments. Hands-on experience with Snowflake including data warehousing modeling ingestion and performance optimization. Solid understanding of ETL/ELT architectures data modeling Git CI/CD automated testing and production monitoring. Familiarity with data governance data quality metadata management and data lineage. Strong communication skills fluent English and a proactive autonomous problem-solving mindset. Desirable Experience with SnapLogic or other iPaaS integration platforms. Familiarity with Collibra or similar data governance and metadata management tools. Experience working in Agile environments and with containerized or distributed data solutions. Spanish language skills. Previous experience in pharmaceutical Regulatory Affairs or Quality Medicine data domains. Service Setup Duration: 612 months. Working model: Fully remote.
