Q123 – Data Engineer – Snowflake

Q123 – Data Engineer – Snowflake

Data Engineer – Specification

We are seeking an experienced data engineer who is comfortable with implementing ETL, automation, modelling, and working with large datasets in a fast-paced team with data architects, business SMEs, and technical developers. The data engineer will use Talend and Snowflake primarily, understand and reverse engineer Alteryx workflows, and follow the principles of Data Vault modelling. Knowledge of Data Vault design methodology, Data Ops, Monte Carlo, similar tools, and Snowflake will be essential.

Experience Required: Min 4 – 8 years

Key responsibilities

• Breakdown requirements, understand logical data models and deliver robust data pipelines (ETL) to specifications
• Extraction of data from APIs (REST, SOAP, etc) with a sound understanding of pagination techniques.
• Own development artifacts and follow established dev, test, and deployment principles and processes
• Ensure the build meets the stated design and specifications
• Ensure all development, flows and designs are documented, communicated, updated, and managed in an appropriate manner

What we’re looking for

• An experienced Data Engineer with strong implementation experience and expertise, especially using Snowflake technology
• Experienced in modern cloud-based data architecture (Talend/Snowflake including SQL)
• Implementation experience in Snowflake data warehousing projects
• Expertise in ETL and scheduling tools
• Experienced in Talend or similar (e.g. DBT)
• Understanding of Alteryx Workflows and recreating it using Talend components
• Python experience recommended
• AWS S3/Lambda/Glue/Dev-Ops (AWS data-engineering exposure, hands-on experience)
• Experienced with CICD pipelines, and working and deploying in large delivery teams
• Self-driven and constantly striving to improve delivery
• Knowledge of the Data Mesh framework and associated concepts will be a plus
• Optional: Digital Media and Marketing Services experience

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