Endkundenprojekt

Data Platform Engineer - Fast-growing Fintech

München, Bayern  ‐ Hybrid

Schlagworte

Datenmodell Amazon S3 Prozessoptimierung ETL Data Transformation Datenqualität Data Warehousing Python Postgresql Mysql SQL Workflows Snowflake

Beschreibung

Our client, a fast-growing fin-tech, is seeking a skilled Data Platform Engineer to join their dynamic team. As a Data Platform Engineer, you will play a crucial role in operating, monitoring, and extending the data platform infrastructure. Join this forward-thinking organization and contribute to their vision of making data easily accessible and driving data-driven processes.

Responsibilities:

• Operate, monitor, design, and enhance the data platform infrastructure, pipelines, and services.
• Implement and maintain Airflow workflows to orchestrate data pipelines.
• Utilize DBT for data transformation, aggregation, materialized views, and data quality management.
• Leverage Snowflake and Redshift data warehouses for data modeling, ingestion, processing, and ensuring data integrity.
• Develop and maintain PostgreSQL and MySQL databases, including data modeling, schema design, and performance optimization.
• Collaborate with the analytics team to design and develop the semantic layer from an engineering perspective.

Requirements:

• Excellent knowledge of SQL and proficient skills in Python.
• Experience working with AWS data and analytics stack, including Redshift, Athena, Glue, S3, EMR, and DMS.
• Familiarity with ELT/ETL flows.
• Knowledge of OpenSearch.
• Track record of end-to-end project ownership, from requirements gathering to production performance monitoring.
• Can-do mentality, eagerness to learn, and a continuous improvement mindset.
Start
05.2024
Dauer
8 Monate
Von
StantonWolfe
Eingestellt
09.04.2024
Ansprechpartner:
Matt Hobson
Projekt-ID:
2737060
Branche
Finanzen
Vertragsart
Freiberuflich
Einsatzart
40 % Remote
Um sich auf dieses Projekt zu bewerben müssen Sie sich einloggen.
Registrieren