Senior Data Engineer - Data Infrastructure and Architecture: C-4 Analytics
Wakefield, Yorkshire, United Kingdom
Hybrid / WFH Options
Hybrid / WFH Options
Flippa.com
potential. Collaborate with cross-functional teams to ensure that data storage and organization align with business needs and objectives. Seamless Scaling & Performance Optimization Implement database architecture best practices, including database sharding, replication strategies, indexing, and optimization techniques to enhance data performance. Compose Data Symphonies Orchestrate enterprise-grade AI … Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3-the building blocks … Computer Science, Data Engineering, or related field. Seasoned Practitioner : 5+ years of experience in data engineering, with a focus on data infrastructure, architecture, and database management. Code Craftsperson : Fluent in Python and SQL, expressing complex logic with elegant simplicity. Database Strategist : Understanding when to deploy relational, vector More ❯
Employment Type: Permanent
Salary: GBP Annual
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