Data Engineer (Mid Level)
SysMind Tech
Job Responsibilities
- 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.
- 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.
- 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.
Vacancy posted 3 days ago
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