7 of 7 Permanent Amazon Redshift Jobs in the North of England

environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

Spark or Hadoop. Experience with ETL/orchestration tools like Airflow, Talend or Azure Data Factory. Understanding of data warehousing solutions (Snowflake, BigQuery, Redshift or similar). Good understanding of data governance, GDPR and modern security practices. Strong problem solving skills and the ability to work with technical ...

analytical workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We ENABLE hybrid cloud transformation – You will implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We INNOVATE with AI-driven data solutions – You will ...

systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines ...

systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines ...

systems, data platforms, and analytics tooling. Languages & Backend Python, Go (Golang), TypeScript Strong understanding of distributed systems, microservices, API-driven architectures Data & Analytics AWS Redshift, Athena, DynamoDB, Snowflake (or equivalent cloud data warehouses) Kafka, Kinesis, or other streaming/event platforms Experience building large-scale ingestion and normalisation pipelines ...

following: - Expertise in designing production-grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best ...