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Job Description: Data Engineer
We are looking for a forward thinking Data Engineer to build a robust Vault 2.0
architecture on Snowflake, to better serve and deliver valuable data products to our
customers (internal and end-client).
Key Responsibilities:
Data Vault 2.0 Implementation:
o Design and implement Data Vault 2.0 architecture on the Snowflake data platform.
o Develop and maintain hubs, links, and satellites in the Data Vault 2.0 model.
Data Integration:
o Build robust and scalable data pipelines to ingest and process data from various
sources (e.g., databases, APIs, streaming platforms).
o Implement ETL/ELT processes to ensure efficient data loading, transformation, and
storage.
Data Marts:
o Design and build data marts to support business intelligence and analytical
requirements.
o Collaborate with business stakeholders to understand data needs and deliver
tailored data products.
Performance Optimization:
o Optimize data models, queries, and storage solutions for performance and cost
o Monitor and troubleshoot performance issues in data pipelines and data
warehouses.
o Work closely with analysts, and business stakeholders to gather requirements and
Documentation & Standards:
o Create and maintain comprehensive documentation- we use confluence
o Adhere to industry best practices and company standards for data engineering and
governance.
Required Skills and Qualifications
Technical Expertise:
o Proven experience with Data Vault 2.0 methodology.
o Hands-on experience with Snowflake data platform.
o Proficiency in SQL and ETL/ELT processes.
o Experience with data streaming technologies (e.g., Kafka, Kinesis).
Programming & Tools:
o Strong programming skills in Python, Java, or similar languages.
o DBT hands on experience would be preferred.
Analytical Skills:
o Strong analytical and problem-solving skills.
o Ability to design scalable and efficient data models.
Communication:
o Independent minded/self starter- We are a small team, with a lot to work out still.
o Excellent written and verbal communication skills.
o Ability to work effectively in a collaborative team environment.
Release Comments: Would suit a data engineer with good exposure to architecture.
Vault exposure within FS would be good. A pragmatic self starter, who is comfortable
working in a small team.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology
* Industries
IT Services and IT Consulting
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