14 of 14 Remote Amazon Redshift Jobs in Cheshire

And future opportunities) *To be successful in this role we are looking for someone who is particularly strong in Oracle Data Integrator (ODI) or Amazon Redshift/AWS - Or ideally both :) This can be offered as "mostly remote" however you will need to be comfortable going to the … scratch Oracle Databases and hopefully experience of ODI (Oracle Data Integrator) (Can be learnt in role) Experience in AWS, perhaps some Informatica/SSIS Amazon Redshift - this can be learnt if not used as yet Perhaps exposure to S3 Experience in Data Integration, APIs and Storage solutions Comfortable More ❯

throughput, scalable, resilient and secure data pipelines. • Experience with the following AWS technologies : Glue jobs, Athena, S3, Step functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kenesis Firehose. • Expert knowledge of SQL . • Hands on experience with Kafka. • Hands on experience with Terraform. • Hands on experience of Python with More ❯

throughput, scalable, resilient and secure data pipelines. • Experience with the following AWS technologies : Glue jobs, Athena, S3, Step functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kenesis Firehose. • Expert knowledge of SQL . • Hands on experience with Kafka. • Hands on experience with Terraform. • Hands on experience of Python with More ❯

years of experience in a commercial data engineering or related role Skilled in SQL and data modeling Proficient in data warehouse technologies (such as Amazon Redshift, Google BigQuery, or Snowflake) Hands-on experience with ETL tools and frameworks, including Apache Airflow, Talend, or dbt Strong programming ability in More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

available cloud services (AWS or Azure). Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep). Familiarity with cloud database technologies (Snowflake, Redshift, etc.). Knowledge of Linux and related platform tooling (e.g., Docker). Knowledge of data platform and/or data science tooling. Solid understanding More ❯

you Proven experience leading data engineering teams in a consultancy or enterprise setting. Deep expertise in cloud platforms (AWS & Azure), data warehousing (Snowflake, BigQuery, Redshift), and big data technologies (Spark, Hadoop). Strong background in software engineering practices, CI/CD, and infrastructure-as-code. Excellent stakeholder management and More ❯

experience in querying and transforming data) Experience with building analytics data layers Airflow, dbt (for orchestration and transformation) Cloud data warehouses like BigQuery or Redshift Terraform, Kubernetes (for infrastructure as code and deployment More ❯

ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they More ❯

ideal candidate would have 10+ years experience in Data Engineering/Architecture and have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Leadership/Line Management Consulting/Client Facing Experience In return they More ❯

assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free More ❯

assist with the continued scaling and optimisation of these. Their ideal candidate would have good knowledge within: Cloud (AWS, GCP, Azure) Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering Free More ❯

frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs … cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales More ❯

frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: SAP Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs … cloud architecture and data strategy development. Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics. Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales More ❯