6 of 6 Contract Amazon Redshift Jobs in London

Proficiency in Python or Scala for data processing Strong SQL skills for querying and managing relational databases Experience with AWS services including S3, Glue, Redshift, Lambda, and Athena Knowledge of ETL processes and data pipeline development Understanding of data modelling and data warehousing concepts Familiarity with version control systems ...

within banking or financial services (essential) Strong SQL and Python (or equivalent) development skills Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery) Cloud experience (AWS, Azure, or GCP) Solid understanding of data modelling, warehousing, and pipeline design Experience supporting regulatory or risk-related data workflows ...

builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/CD tooling (Jenkins, Azure DevOps, GitHub Actions, GitLab CI). Experience working with Git based version control. ...

builds). Strong SQL skills for data validation, reconciliation, and analysis. Experience with data warehouses, data lakes, or big‑data platforms such as Snowflake, Redshift, BigQuery, or Spark. Familiarity with CI/CD tooling (Jenkins, Azure DevOps, GitHub Actions, GitLab CI). Experience working with Git‑based version control. ...

expertise with Snowflake (architecture, performance tuning, security, Snowpipe, streams/tasks) Strong experience with AWS cloud data ecosystem, ideally including: S3, Glue, Lambda, Redshift, EMR, Kinesis, IAM, CloudWatch Strong SQL skills and proficiency in Python, DBT Understanding of data governance frameworks (e.g., Collibra, Alation is a plus) Hands ...

transformation frameworks (SQLMesh, dbt, or similar) Solid understanding of data modelling principles and trade-offs Experience building models in cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Ability to design intuitive, business-friendly datasets Understanding of data architecture and how layers fit together Curious, pragmatic, collaborative - comfortable working ...