26 to 50 of 69 Remote/Hybrid Amazon Redshift Jobs

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You'll be using ...

data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect ð Work to agile best practices and cross-functionally with multiple teams and stakeholders. ...

MySQL, DynamoDB and Bigtable Hands on experience building ETL and ELT pipelines and optimising data transformations Practical knowledge of AWS including Kinesis, S3 and Redshift, and GCP including Pub/Sub and BigQuery Experience with streaming technologies such as Kafka and Confluent, and real time processing engines including Spark ...

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 DBTVisual Studio CodePythonCI automation systems such as JenkinsA git-based source control system such as BitBucketData Warehouse/Kimball ...

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 ...

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 ...

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 ...

principles. Experience optimising cloud infrastructure for performance, resilience and cost efficiency. Key Skills: AWS (ECS, Auto Scaling Groups, ALB, CloudFront, Lambda, RDS Aurora, ElastiCache, Redshift, S3, MSK, Control Tower) Terraform & Infrastructure as Code Linux (Ubuntu) Bash/Shell scripting Docker PHP 7/8 SQL, MySQL & PostgreSQL ...

data lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including ...

data lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including ...

data lifecycle, from ingestion and processing through to transformation, storage and consumption. Build and optimise data solutions using AWS services such as Glue, EMR, Redshift, Kinesis, Lambda and DynamoDB. Work with large volumes of structured and unstructured data, integrating information from multiple sources. Develop data solutions using technologies including ...

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 ...

experience in data science, analytics or business intelligence (typically 10+ years) Advanced knowledge of Python and SQL Experience working with cloud platforms such as Redshift, Databricks or similar Proven track record in building impactful data visualisations (Power BI or equivalent) Strong understanding of statistical modelling, predictive analytics and machine ...

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 ...

Bring4+ years of professional experience building and shipping production-quality software. Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).Solid grounding in at least one of Java or Python, and willingness to be effective in both. A genuine DevOps mindset ...

built your career on AWS this is one where that depth actually gets used. AWS across the board, including S3, Glue, Redshift, Lake Formation and Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis ...

data lakehouse, event‐driven architectures, streaming, data mesh principles). Strong knowledge of one or more leading cloud data stacks (e.g. GCP BigQuery, AWS Redshift/Glue, Azure Synapse, Databricks, Snowflake). Experience designing data models for analytics and AI, and working with structured and unstructured data. Familiarity with ...

using Fivetran, Airflow, DBT, or Databricks. Solid understanding of data modeling, dimensional design, and schema normalization at enterprise scale. Strong experience with AWS (S3, Redshift, Glue, Lambda) or GCP (BigQuery, Dataflow). Experience working with marketing or ad platform data (Google Ads, Meta, TikTok, DV360, Amazon Ads). ...

8+ years in Data Analytics, Data Science, or similar Advanced SQL and strong data modelling experience Experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift, Postgres) Experience working with cross-functional stakeholders Strong communication skills with ability to translate data into business insights Desirable Fintech or financial services experience ...

Databricks or similar technologies would be advantageous. Data Platform Fluency: You have solid understanding of modern Data Platforms (such as Snowflake, Databricks, BigQuery, or Redshift) and the process of transforming raw data into a usable asset. Your Background We value curiosity, adaptability and a customer‐first mindset above ...

defining and implementing the target state We'd love to talk to you if you have Experience with the AWS data stack: S3, Glue, Redshift, Lake Formation Familiarity with Lakehouse patterns and architecture Strong proficiency in Python and SQL Experience in regulated or high-volume data environments Betting ...

team capabilitiesNice to Have: Treasury, fintech, or payments domain knowledge (cash positioning, FX, liquidity).LLM observability tools: LangSmith, Arize, Weights & Biases. AWS (S3, Glue, Redshift, Lambda); TMS/financial data providers (Bloomberg, Kyriba).Startup, founder, or cross-functional multi-product experience. Our Benefits: Paid Vacation DaysHealth insuranceCommuter benefitEmployee Stock ...