Dashboard / Data Engineer Snowflake
jakob
47 score
62 AI

Data Engineer Snowflake

Reviewed Freelance.de
Zum Job

Projektdetails

Unternehmen
Firmenname
Ort
Remote
Quelle
Freelance De
Veröffentlicht
27.11.2025
Entdeckt
28.11.2025 19:09
Startdatum
2026-01-15
Remote
100%

Skill-Match (jakob)

Match-Begründung

[47/100] | Matching: 10 (+75) | Missing: 6 (-48) | Remote: Yes (+20) | ★(title)=red, ★(context)=yellow, (2x)=count

KI-Analyse

62/100

✓ Passende Stärken

Strong Python skills, general data processing, and automation mindset align with pipeline development. The biopharmaceutical domain expertise from research and startup experience is an excellent contextual fit. Growing skills in Cloud (AWS Glue), SQL (Snowflake), and Machine Learning Engineering are highly relevant. Work preference for remote and DACH region is a perfect match.

△ Skill-Lücken

The candidate lacks direct, proven experience as an 'experienced Data Engineer' with specific tools like Apache Spark (Scala & Python) and Apache Airflow for independent consulting. While Python is a strength and automations are listed, explicit hands-on experience with these key pipeline orchestration and processing tools is not clearly demonstrated. The overall experience leans more towards Data Science than pure Data Engineering.

Analysiert: 2025-11-28

Geforderte Skills

airflow aws biology calculus 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

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