Endkundenprojekt

Senior Data Engineer - MedTech Scale-up

Nordrhein-Westfalen  ‐ Hybrid

Schlagworte

Information Engineering ETL Airflow Amazon Web Services Microsoft Azure Bigquery Datenbanken Data Architecture Data Governance Data Integration Datenmodell Data Warehousing Datenbank Design Distributed Computing Json Python SQL Workflows Google Cloud Cloud Platform Data Lake Jenkins Programming Languages

Beschreibung

A fst growing scale-up in the Med-Tech space is freelance Senior Data Engineer

You will play a pivotal role in designing, implementing, and optimizing the company's data infrastructure and systems.

• Designing, developing, and maintaining scalable data pipelines, ETL processes, and integration workflows to enable efficient data processing.
• Collaborating with stakeholders to understand data requirements and providing effective data engineering solutions.
• Creating and implementing data models and database schemas to facilitate efficient data storage and retrieval.
• Implementing data governance and security practices to ensure data integrity and compliance.
• Identifying and resolving data-related issues, proposing and implementing effective solutions.
• Staying up-to-date with the latest trends and technologies in data engineering to enhance the company's data infrastructure.

The ideal candidate will have:

• Minimum of 5+ years of experience in data engineering or related roles, with a focus on complex data projects and building data pipelines.
• Strong proficiency in programming languages such as Python, SQL, and DBT.
• Familiarity with cloud platforms like Google Cloud Platform (GCP), including services such as BigQuery, or equivalent platforms like AWS and Azure.
• Deep understanding of distributed systems, data warehousing, data modeling, database design, and optimization techniques.
• Knowledge of ETL processes and data integration tools like Jenkins, Apache Airflow, or Prefect.
• Experience with data architecture concepts and various data storage formats (e.g., CSV, JSON, Parquet) and data lake environments.

Start
05.2024
Dauer
6 Monate
Von
StantonWolfe
Eingestellt
09.04.2024
Ansprechpartner:
Matt Hobson
Projekt-ID:
2737068
Branche
Medizin und Pharma
Vertragsart
Freiberuflich
Einsatzart
60 % Remote
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