1 to 25 of 68 Amazon Redshift Jobs

management of large-scale enterprise data warehouse solutions. Build and maintain data integration and transformation processes using IBM DataStage. Work with AWS technologies including Amazon Redshift, Amazon S3, AWS Glue and Amazon QuickSight. Develop and optimise SQL-based data transformations and work with relational databases. Support … need strong commercial data engineering experience, particularly across enterprise-scale ingestion, transformation, warehousing and database environments. Essential skills and experience IBM DataStage Amazon Redshift Amazon S3 AWS Glue Amazon QuickSight AWS data/cloud environments ETL and data migration Batch and real-time data processing Enterprise ...

people with extensive commercial experience with AWS Glue, developing Glue Jobs using PySpark and Python, AWS Glue Data Catalog, Crawlers, Workflows and triggers, Amazon S3 data lake implementation and management, AWS IAM roles, policies and security best practice. You will also need experience with several of the following: Amazon Redshift, AWS Lambda, Amazon Athena, Amazon RDS, Amazon EMR, Amazon EventBridge, Amazon Kinesis, AWS Step Functions, Amazon SQS/SNS and AWS CloudWatch. These roles are outside IR35 and will require you to be onsite 3 days a week. All candidates must ...

Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Lead Data Engineer, Data Engineer) Our client … Juniors. The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data ...

Amazon Web Services Professional Services (ProServe) team is seeking a Delivery Consultant specializing in Datae. You will be at the center of the most consequential shift in enterprise technology: making organizations truly AI-ready. Every agentic AI system, every foundation model grounded in enterprise knowledge, and every GenAI application … pipeline design, and architecture without waiting for perfect specifications or constant oversight - Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously within regulated ...

Ability to work directly with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational ...

equivalent Experience building data pipelines in production Hands-on experience with a cloud platform (AWS, Azure or GCP) Experience with data warehousing (Snowflake, Redshift, BigQuery or Synapse) Understanding of data modelling and CI/CD Desirable Spark, Databricks or Kafka Orchestration tools such as Airflow or dbt Infrastructure ...

programming language. Experience with modern data engineering tools, such as dbt, Airflow or Spark. Experience with cloud data warehouses, such as Snowflake, BigQuery or Amazon Redshift. A solid understanding of data modelling, ETL/ELT and data quality. Knowledge of data governance, security and privacy. Confidence taking ownership ...

Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience ...

Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience ...

Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake and engines such as Spark, Flink, or Trino and table formats such as Iceberg, Hudi, or similar) Strong SQL skills and experience ...

functional teams with analysts, product managers, and business stakeholders AWS & Data Engineering: Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Redshift, EMR, etc.) and proficiency with Apache Spark for large-scale data processing Backend Development: Strong experience with Python for building data processing services ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

clients and stakeholders.Self-sufficient, with excellent problem-solving and communication skills.Advantageous:Experience with Logic Apps and integration tools.Familiarity with data frameworks (e.g., Snowflake, BigQuery, Redshift).Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Bicep, Terraform).Exposure to machine learning and AI solutions.Understanding PowerShell and Azure.Reply ...

Self-sufficient, with excellent problem-solving and communication skills. Advantageous: Experience with Logic Apps and integration tools. Familiarity with data frameworks (e.g., Snowflake, BigQuery, Redshift).Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure Code (e.g., Bicep, Terraform).Exposure to machine learning and AI solutions. Understanding PowerShell ...

stakeholders Experience supporting machine learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent) Experience operationalising machine learning models into production environments Experience with MLOps, model deployment, model monitoring, model lifecycle management ...

following will be good to have else we will be enable you with the required trainingAWS Glue and Data Catalog, EMR, Athena, S3, Redshift/RDS, Kafka/Spark, AWS Security, IAMOR Azure Data factory, Azure Data bricks, Azure Data Lake, Azure SQL DW & Azure SQL, Azure Storage, HDInsight ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

scripting preferred Strong Knowledge of all phases of the system development life cycle Experience with major database and big data platforms (e.g. RDS, Aurora, Redshift, Data bricks, MySQL, Oracle, PostgresSQL, Hadoop, Snowflake, etc.) Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.) Understanding of modern ...

role focused on building scalable, secure and high-performing solutions that support analytics, AI, and enterprise reporting. Key Skills Required AWS (S3, Glue, Redshift, Athena, Kinesis, Lambda) Data Lake & Lakehouse architectures ETL/ELT & data pipelines Python, SQL & PySpark Data modelling (Kimball, Data Vault) Data governance & security Terraform/ ...

Engineer Must have:Experience in building complex data pipelines/ETL/ELT scriptsExtensive experience with SQLExperience with Data Warehouse databases like Snowflake/Redshift/BigQueryExperience with PythonPreferably have some knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs.Business ...

pipelines will be built in PySpark • SQL • Knowledge of AWS and components such as S3, Glue, Athena, RDS • Experience with Data Warehouse databases like Redshift/Snowflake/BigQuery • Experience with implementing Rest APIs. • Experience with using and integrating BI tools such as Looker, Qlik, Power BI, Tableau • Modern ...

designing and maintaining ETL/ELT pipelines Exposure to data warehousing, data lakes and modern data architecture Experience with cloud data platforms (AWS preferred - Redshift, Athena, S3, Glue. Azure accepted) Understanding of workflow orchestration and automation tools Python experience (including PySpark) is beneficial but not essential Exposure ...

Service, Azure AI Foundry, Azure AI Search (vector/RAG), Azure Machine Learning, Azure AI Agent Service, Semantic Kernel, Prompt Flow and Content Safety.AWS: Amazon Bedrock (including Knowledge Bases and Agents), Amazon SageMaker, Amazon Q, Amazon OpenSearch (vector), and Guardrails for Amazon Bedrock.Expertise in agentic … cloud-based platform (AWS or Azure); AI or machine learning specialism desired.Familiarity with modern data and lakehouse ecosystems (e.g. Microsoft Fabric, Databricks, Snowflake, Synapse, Redshift) as a foundation for grounding AI.Soft SkillsStrong leadership and programme management skills, with the confidence and directive to challenge the status quo and align ...

Azure AI Foundry, Azure AI Search (vector/RAG), Azure Machine Learning, Azure AI Agent Service, Semantic Kernel, Prompt Flow and Content Safety. AWS: Amazon Bedrock (including Knowledge Bases and Agents), Amazon SageMaker, Amazon Q, Amazon OpenSearch (vector), and Guardrails for Amazon Bedrock. Expertise … based platform (AWS or Azure); AI or machine learning specialism desired. Familiarity with modern data and lakehouse ecosystems (e.g. Microsoft Fabric, Databricks, Snowflake, Synapse, Redshift) as a foundation for grounding AI.Soft SkillsStrong leadership and programme management skills, with the confidence and directive to challenge the status quo and align ...

communication skills. Desirable Skills Experience within Credit Cards or broader consumer lending environments. Knowledge of AWS data services such as S3, Glue, Lambda, Redshift or related technologies. Experience working within regulated financial services environments. Understanding of modern data architecture and cloud data strategy initiatives. Candidate Profile The ideal candidate ...