Data Engineer (Python/AWS)

TL;DR

Data Engineer (Python/AWS): Design and optimize scalable ETL/ELT pipelines and data architectures for biotech and pharma clients with an accent on data modeling, cloud services, and compliance. Focus on building high-performance data solutions, integrating AWS services, and ensuring data accessibility for analysts.

Location: Belgrade office (hybrid encouraged if within short commute; remote supported worldwide)

Company

hirify.global provides consulting services across the product lifecycle for biotech, med device, and pharmaceutical organizations, focusing on regulatory sciences, clinical research, quality, pharmacovigilance, and R&D technology.

What you will do

• Build scalable ETL/ELT pipelines using Python (Pandas, PySpark), AWS Glue, Lambda, and load into AWS data stores.
• Design and manage schemas for relational databases like Amazon RDS, Aurora, PostgreSQL, MySQL.
• Optimize queries, indexing, and OLAP systems like Amazon Redshift for performance and cost efficiency.
• Package and deploy Python data services with Docker on Amazon ECS/EKS, integrate via psycopg2 and boto3.
• Develop automation, monitoring, error handling, alerting, and maintain data lineage with AWS Glue Catalog.
• Collaborate with analysts/scientists, document pipelines, resolve tickets, and suggest improvements.

Requirements

• Python for data manipulation, ETL pipelines, automation, and integration.
• SQL for querying and manipulating databases; PostgreSQL, MySQL, SQL Server for schemas, queries, data integrity.
• AWS services (S3, Lambda, Redshift, Glue); data modeling (star/snowflake schemas, normalization, partitioning).
• Experience with data lakes, CI/CD for pipelines; good understanding of computing systems.
• Minimum 3 years in technician or similar role; degree in relevant subject; strong communication and customer service skills.
• Ability to diagnose issues, quick learner.

Culture & Benefits

• Diversity, equity, inclusion focused workplace where employees can be authentic.
• Encourages innovation, collaboration, entrepreneurial spirit.
• Supports remote working with hybrid option encouraged near offices.
• Personal review of all applications, no AI screening, always receive outcome.

Hiring process

• All applications personally reviewed by recruitment team.
• Outcome provided for every application.