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