Dashboard / Cloud Data Engineering for Drug Development
jakob
51 score
58 AI

Cloud Data Engineering for Drug Development

Reviewed Freelance.de
Zum Job

Projektdetails

Unternehmen
Firmenname
Ort
Remote
Quelle
Freelance De
Veröffentlicht
25.11.2025
Entdeckt
26.11.2025 16:05
Startdatum
2026-01-15
Remote
100%

Skill-Match (jakob)

Match-Begründung

[51/100] | Matching: 10 (+79) | Missing: 7 (-48) | Remote: Yes (+20) | ★(title)=red, ★(context)=yellow, (2x)=count

KI-Analyse

58/100

✓ Passende Stärken

Excellent domain fit for biopharmaceutical, perfect remote/location match. Strong Python skills, experience in automations and data processing, and growing skills in Cloud Computing (80%) and ML Engineering (70%) are highly relevant to the role's focus.

△ Skill-Lücken

Significant gaps in direct experience with key data engineering tools required for an independent contractor role: AWS Glue, Snowflake, Apache Spark (especially Scala), and Apache Airflow. The role is explicitly for a Data Engineer/Developer, shifting focus from the profile's core data science strengths (statistical modeling, visualization, ML model dev).

Analysiert: 2025-11-26

Geforderte Skills

airflow aws biology calculus cloud computing communication data analysis data engineering data manipulation monitoring project management python r research scala snowflake spark

Stellenbeschreibung


Start: 15.01.2026 | End: 31.12.2027 | Remote: 100%

Beschreibung

Cloud Data Engineering for Biopharmaceutical

The Software provides digital platform that provides scientists with unified access to critical data across different R&D and manufacturing stages. The goal is to harmonize data from multiple sources into a single usable dataset, enabling faster analysis and new insights in the development of biological drugs.

We are looking for an experienced Developer / Data Engineer. The contractor will work independently and consult to the technical development of the platform.

Key responsibilities include:

Developing a scalable data processing pipeline in the AWS Glue + Snowflake ecosystem

Implementing data transformations using Apache Spark (Scala & Python)

Creating and executing unit, integration, and end-to-end tests

Writing clear technical documentation (architecture, data flow, configuration)

Automating workflows and scheduling using Apache Airflow (DAGs, alerts, recovery)

Monitoring pipeline performance and resolving issues via Jira

Sharing technical knowledge with the team through ongoing sprint ceremonies

All deliverables will be handed over through the project repository for further internal use.

englisch is mandatory, german is a plus