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Über
Design, develop, and maintain data assets across the entire data lifecycle, from ingestion and transformation to reporting and troubleshooting. Utilize a modern data stack, including
Azure, Snowflake, Linux, microservices,
and various
orchestration tools
and
BI platforms . Write and optimize code using
SQL, Python,
and
Linux scripting . Manage code and collaborate with others using
GitHub
and implement
CI/CD practices . Work with business partners to understand their needs and deliver data solutions that align with the company's strategy. Provide technical support and troubleshoot data-related issues. Required Skills and Experience
5-7+ years
of experience in data engineering, software development, or a similar technical role. A
bachelor's degree
in Computer Science, Information Systems, Engineering, or equivalent experience. Deep expertise in
SQL, Python,
and
Linux scripting . Proven experience with
data warehouse design
and
performance optimization . Strong understanding of
CI/CD automation
(e.g., GitHub Actions). Experience with
Azure services
(e.g., Data Factory, Synapse, Key Vault, Container Services). Excellent communication skills, with the ability to explain complex topics to both technical and non-technical audiences. Strong analytical and problem-solving skills, with the ability to work independently and as part of a team. Experience in a fast-paced environment, managing competing priorities and meeting deadlines. Additional Skills (Nice to Have)
Experience with legacy data tools like
SQL Server, SSIS, and SSRS . Familiarity with financial services, specifically investment management (fixed income and equity). Experience with
Snowflake ML/AI
features and the
R
programming language. Experience with
Linux administration
and system monitoring. Experience using DAX. Ability to travel occasionally.
Sprachkenntnisse
- English
Hinweis für Nutzer
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