51 to 75 of 135 Amazon Redshift Jobs in London

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 ...

everything: PyTorch, TensorFlow or JAX Hugging Face LLM APIs and open-source models RAG and vector databases Apache Airflow AWS S3 ECS/EKS Redshift Docker Kubernetes GitHub Actions Pulumi or Terraform SQL Model monitoring and observability Distributed processing Financial markets, economics or commodities Financial-market experience ...

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 ...

generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas ...

Develop ETL/ELT processes for ingesting, transforming and processing data from multiple sources Implement data solutions using AWS S3, Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches for analytical and operational requirements Develop solutions using Python, SQL and modern data engineering frameworks … within complex enterprise environments Strong experience designing and delivering data solutions on AWS Strong knowledge of AWS data services including S3, Glue, Lambda, Athena, Redshift and EMR Strong Python and SQL skills Experience designing and building scalable ETL/ELT pipelines and data processing workflows Understanding of data modelling ...

existing data pipelines and workloads from legacy/on-prem systems to AWS Develop and optimize data models for data warehouse/data lake (Redshift, S3) Build and orchestrate data workflows (Glue, Step Functions, Lambda, EMR) Implement data quality checks, validation, and reconciliation processes Optimize pipeline performance and manage … 5+ years of experience Hands-on experience building data pipelines on AWS (Glue, EMR, Lambda, Step Functions) Strong SQL and experience with data warehousing (Redshift, dimensional modeling) Proficiency in Python or Scala for data engineering Experience with S3-based data lake architecture (partitioning, cataloging, formats like Parquet) Experience migrating ...

processes for ingesting, transforming and processing data from multiple sources Design and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data … complex enterprise environments Strong experience designing and delivering data solutions on AWS Strong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the appropriate services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ ...

prompt and context engineering, evaluations and AI SDLC to deliver novel capabilities for the trading organisation. Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation … complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control ...

prompt and context engineering, evaluations and AI SDLC to deliver novel capabilities for the trading organisation. Tap into expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) to build, deploy and manage data pipelines in a secure and cost-effective manner, with particular focus on cloud cost optimisation … complex and time series data. Proven experience with Apache Airflow for data orchestration and scheduling at scale. Expertise in AWS cloud services (S3, Redshift, EC2, Lambda, etc.) is a must. Definition and design of the full SDLC (standards and tooling): development, test and deployment, using Git source control ...

requires the ability to hold an active security clearance. Skills : Python and SQL . Apache Airflow for DAG orchestration and monitoring. AWS data services: Redshift , OpenSearch , Lambda , Glue , Step Functions , Batch . CI/CD pipelines and YAML-based configuration Seniority level Mid-Senior level Employment type Full-time ...

insights from well-designed data models. Who are we looking for? You have strong expertise in SQL & Python for relational database systems such as Redshift/S3 and SQL Server. You have several years of strong experience with ETL/ELT processes and APIs with tools such ...

engineer, or quantitative analyst, ideally at a fintech, payments, marketplace, or consumer tech company. Strong SQL. You can navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep ...

building modular, well-tested modelsSolid understanding of dimensional modeling and metric designExperience working with cloud data warehouses (BigQuery, Snowflake, or Redshift)Experience with metrics/semantic layers (e.g. dbt metrics, MetricFlow, Cube)Strong data quality mindset (testing, validation, monitoring)Comfortable working with event-based data and cross-functional teamsAble ...

incomplete or evolving datasets and turning them into reliable assets for downstream users Experience with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake, Redshift or similar would be beneficial Experience with version control systems (preferably GitLab) and working with tools such as JIRA & Confluence Experience working in Agile ...

/PLSQL queries and improving performance of reports and data extracts. Hands‐on experience with at least one cloud data platform, ideally AWS (e.g., Redshift, RDS, or similar). Exposure to modern data transformation tools such as dbt or similar frameworks. Basic understanding of cloud concepts (networking, storage, security … performance. Bonus Skills Experience with other reporting/BI tools such as Power BI or AWS QuickSight. Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery. Some knowledge of Kafka and a programming language (e.g., Python or Java) for building data workflows and automation. Familiarity with ...

processes for ingesting, transforming and processing data from multiple sources Design and implement data solutions using AWS services such as S3, Glue, Lambda, Athena, Redshift, EMR and related technologies Design data models and storage approaches appropriate to analytical and operational requirements Develop solutions using Python, SQL and modern data … complex enterprise environments Strong experience designing and delivering data solutions on AWS Strong knowledge of AWS data services such as S3, Glue, Lambda, Athena, Redshift and EMR, with experience selecting the right services for different requirements Strong Python and SQL skills Experience designing and building scalable ETL/ ...

production environments Strong understanding of data quality, reconciliation and validation practices Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial) Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence Comfortable working with messy, incomplete or evolving datasets ...

experience- 5+ years in data engineering, including ownership of data platforms, lakehouses, distributed systems, or backend services.- Experience with analytical databases such as Snowflake, Redshift, ClickHouse.- Strong Python and SQL skills.- Production experience with Java or Kotlin. We will also consider strong experience in another systems language.- Experience with ...

Python for automation and integration Familiarity with infrastructure as code, using Terraform or Ansible Deep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAA Experience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetry Strong problem‐solving skills ...

data architecture, including Data Lake (Iceberg, Hudi) and Serverless data concepts. Familiarity with mainstream global cloud products such as AWS EMR/Redshift, Google BigQuery, Snowflake, and Databricks., Ability to perform competitive analysis and develop differentiation strategies. Soft Skills: Excellent logical thinking, communication skills, and the ability to work ...

proficiency in Python for automation and integrationFamiliarity with infrastructure as code, using Terraform or AnsibleDeep understanding of AWS analytics technologies including EMR, MSK, Athena, Redshift, Glue and MWAAExperience with CI/CD and observability tools such as Jenkins, ArgoCD, Prometheus, Grafana and OpenTelemetryStrong problem-solving skills and a systematic ...

fast-paced, distributed environment with both technical and non-technical teams Nice to Have Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance Experience automating BI administration through platform APIs, or identity and access through Okta, SCIM or role-based access controls Experience ...

getting your fingers on key boards to build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing ...

years' experience within Data & Analytics, Data Engineering, or Enterprise Data Architecture. Strong experience designing enterprise-scale cloud data platforms using Microsoft Fabric, Databricks, Snowflake, Redshift, Informatica, and Spark-based technologies. Extensive expertise in Data Integration and Orchestration technologies including Azure Data Factory, Glue, APIs, MuleSoft, and Informatica. Proven experience ...

with both technical and non‐technical stakeholders. A proactive approach to documentation, standardisation, and continuous improvement. Experience with cloud data warehouses such as Snowflake, Redshift, or BigQuery. Exposure to Docker and containerised deployments. Experience with observability, monitoring, or governance tools. Knowledge of data cataloguing or access management solutions such ...