12 of 12 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. ...

technical stakeholders. Skills & Experience: We’re looking for strong hands-on experience across modern data platforms, including: Proven experience with AWS data technologies: S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation Experience building and deploying cloud data platforms Infrastructure-as-Code and CI/CD practices (GitHub, CodeBuild, pipelines) Strong ...

Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven ...

/Knowledge/Experience Advanced knowledge of data engineering principles, including data warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen ...

strong delivery focus) in data or platform teams Strong hands-on understanding of AWS services, particularly those used in data platforms (e.g. S3, Glue, Redshift, Lambda, IAM) Solid experience with Databricks, including data engineering and analytics use cases Familiarity with modern data architectures (lakehouse, data lakes, streaming, batch processing ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Expertise in Data Warehousing (e.g., Amazon Redshift, Snowflake, BigQuery, Azure Synapse, SAS Viya) and building enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. ...

someone with: Strong data ingestion experience Strong data modelling experience e.g. dbt Ideally AWS/GCP background Data warehousing experience - e.g. Snowflake, BigQuery, Redshift IAC e.g. Terraform Orchestration experience e.g. dagster, airflow THE BENEFITS: You will receive a salary, dependent on experience. Salary ...

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 ...