26 to 50 of 135 Amazon Redshift Jobs in London

equivalent experience is acceptable Fluent English, written and spoken Autonomous, rigorous, creative, and a team player Nice to have: experience with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena, predictive analytics, statistical modelling, or machine learning Условия Competitive salary and benefits Investment in continued professional ...

working with BI tools such as Qlik Sense/Qlik View, Tableau, Power BI, or equivalent is required. Experience working with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena is a plus. Understanding and experience with predictive analytics, statistical modelling, or machine learning ...

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 implementing data solutions. Proficiency in programming languages such as Python, Java, or Scala. Strong experience with data warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL. Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP). Familiarity with data governance ...

Build Tool) or similar data transformation frameworks is essential. Data Warehousing: Experience working with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift. Data modelling: Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques. Version Control: Proficiency with Git for collaborative ...

Leads) and driving high-level database modernization strategy. Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform. Mastery of migration migrations scope & progression taking customers from ...

Core Technical Skills Data Warehouse Transformation dbt (data build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS ...

reason about warehouse cost and performance, not just correctness. Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery). Experience scaling a data platform through growth — onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. ...

data solutions on cloud platforms (Azure, AWS, GCP)Implement and manage data tools such as: Azure Data Factory/Synapse/DatabricksAWS Glue/Redshift/EMRGoogle BigQuery/DataflowEnsure systems are secure, scalable, and cost-efficientData Pipeline & Workflow ManagementDevelop orchestration workflows (e.g., Airflow, Prefect, Azure Data Factory)Monitor … frameworks (Spark, Hadoop)Experience with data pipelines and ETL toolsExpertise in at least one cloud platform: Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with: Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/ ...

offer the following skills & experience. Strong experience in Python, PySpark/Spark, Databricks, Azure Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest. Experience designing, building and supporting scalable data pipelines and data products in cloud environments. Experience developing and maintaining REST APIs using frameworks ...

implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing Data Modelling Experience with: Redshift PostgreSQL NoSQL databases DevOps & Infrastructure Proficiency in: DevOps practices CI/CD pipeline management Infrastructure as Code (IaC) Nice-to-Have Hands-on experience ...

pipelines. Experience building reliable ingestion or integration workflows, event-driven services or messaging-based systems. Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift or Databricks, or with BI and semantic-layer concepts. Experience working with multi-tenant systems, row-level access controls, PII or GDPR-sensitive data. ...

technologies to accelerate software development and business capability is highly desirable Experience with Docker, AWS and/or Google Cloud Platform Advanced SQL (Amazon Redshift, T-SQL) and data modelling Experience developing AI applications using Large Language Models (LLMs), including prompt engineering, RAG, vector databases, embeddings and commercial ...

Agile team. You bring 5+ years in data engineering, strong Oracle 19c+ experience, warehousing concepts, ETL/ELT, and cloud familiarity (AWS Redshift/RDS). Bonus familiarity with dbt and CI/CD will help you improve data quality and performance. #J-18808-Ljbffr ...

engineering standards and contribute to continuous improvement Support incident management and ongoing maintenance of BI solutions Skills & Experience Experience with AWS data services (e.g. Redshift, Athena, S3, Glue, Lambda) Strong SQL skills Exposure to SnapLogic or similar integration platforms Proficiency in Python (including PySpark) Familiarity with modern data tooling ...

services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving problems ...

skills, including complex joins, window functions, aggregation, and query optimization; Experience with a major data warehouse or big data technology such as BigQuery, Snowflake, Redshift, Hive, Spark, Vertica, or StarRocks; Experience with ETL/ELT tools or orchestration frameworks such as Airflow, dbt, or internal frameworks; Proficiency ...

build and manage automated data pipelines. Cloud Data Platforms: Hands-on experience with Snowflake (highly desirable) or similar cloud-based data warehouses (e.g., BigQuery, Redshift). Additional Programming: Knowledge of C# and experience working within a .NET environment. AI Tooling: Experiencing utilising AI-assisted development tools, such as Github ...

platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience ...

enterprise data architecture. Knowledge of public cloud platforms such as AWS, Azure,or GCP, and exposure to cloud data platforms such asSnowflake, Databricks, BigQuery, Redshift, or MicrosoftFabric. Relevant certifications are a plus, although not arequirement. Strong understanding of analytics workflows, dataintegration, data governance, automation, and howmodern analytics solutions ...

frameworks Experience with enterprise-scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutions Experience navigating complex ...

using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools. Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks). A successful record of experience in sales engineering, customer success, client‐facing professional services, consulting, or technical ...

with working knowledge of JavaScript or Python preferred Solid understanding of data modeling, cloud data platforms, and BI/analytics tools such as Snowflake, Redshift, BigQuery, Synapse, Tableau, Looker, or similar Strong ability to understand customer needs, solve technical and business challenges, and clearly communicate value to technical, business ...

expertise: Advanced SQL is non‐negotiable – you write complex queries fluently and understand performance, indexing, and warehouse‐specific behaviour (e.g. BigQuery, Snowflake, or Redshift). Data modelling: Strong grasp of data modelling concepts and hands‐on experience building models in dbt or a comparable transformation framework. Data quality mindset ...

compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt). J.P. Morgan is a global leader in financial services, providing strategic advice and products ...