101 to 125 of 187 Amazon Redshift Jobs

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). ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … encourage you to apply. AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation ...

Server to AWS, including target modelling, cutover approach, reconciliation strategy and technical risk management. Design and build the real‐time data architecture using Amazon MSK/Apache Kafka and PySpark Structured Streaming (evaluating Apache Flink where it is the better fit), including event schema governance, exactly‐once semantics … retained. Knowledge, Skills and Experience Essentials: Deep, hands‐on expertise across core AWS data services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR, with the ability to make and defend architectural decisions. Advanced proficiency in Python and SQL, including PySpark for large‐scale ...

storage solutions Establishing architectural frameworks (e.g. data vault, dimensional modelling, medallion architecture) Leading the design of cloud data platforms (AWS) - including services like Redshift, S3, Glue, Athena Evaluating and introducing new technologies (e.g. Iceberg, Delta Lake, observability tools) Driving data governance, standards, and best practice Acting as a trusted ...

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 ...

looking for: Strong expertise in python, SQL for data integration and engineering, cloud platforms (AWS, Azure, GCP etc.), data warehousing tools and concepts (Redshift, Snowflake etc.) Experience of strategic implementation, ownership and development of technology solutions and platforms Deep understanding of industry-standard best practice around data and modelling ...

present and effectively influence senior stakeholders You have strong SQL skills and hands‐on experience with dbt, cloud data warehouses (Snowflake, BigQuery, or Redshift), and modern BI tools (Omni, Looker) to build scalable data models and self‐serve dashboards. Experience with attribution modelling and/or testing methodology (e.g. ...

looks like. Platform fluent. You're expert-level across BI tools like Tableau, Qlik, Power BI, Looker, Sigma and data platforms like Snowflake, Databricks, Redshift, Google BigQuery and you can evaluate a new one fast. Deep in data and semantic modeling. Expert-level SQL and data/semantic modeling ...

formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … encourage you to apply. AWS Glue, Lambda, Step Functions or Azure Data Factory, Synapse Pipelines, Azure Functions and Logic Apps PySpark SQL (Athena, Redshift, Azure Synapse SQL) AWS S3 or Azure Data Lake Storage Gen2 Python and/or Java ETL/ELT data pipeline development Data quality, validation ...

experience that makes complex energy systems simple, powerful and intuitive. You'll be building resilient, modular backend services, data models, data flows between Postgres, Redshift, analytics layers and APIs that underpin complex trading, billing and analytics platforms. There's a collaborative team environment where you'll input into technical … experience across the full development lifecycle You have expertise with backend Python, REST APIs and microservices You have a good knowledge of AWS including Amazon RedShift You have experience with PostgreSQL, DBT, data pipelines, ETL, data modelling, LLMs and agentic programming You have a good understanding of event ...

platforms Coding skills for data analysis including SQL and Data Visualization Tools (Tableau, Looker, or Similar) Experience performing analysis with large datasets (Databricks, Snowflake, Amazon Redshift, Google Big Query or Similar) Experience with A/B testing and experiment design Extensive knowledge of statistics and analytical concepts Experience ...

Hands‐on experience with Zoho Analytics, including data preparation, data modeling, Query Tables, pipelines, reports and dashboards. Experience querying data held within AWS, particularly Amazon Redshift, Athena, and S3. Experience implementing or maintaining data quality checks and monitoring. Experience working with large or complex datasets. Experience working ...

data systems from ingestion to data products, focusing on reliable, scalable architectures. You'll work with SQL, Python, and cloud warehouses (BigQuery, Snowflake, Redshift) and orchestration tools (Airflow, Prefect, Dagster) while collaborating with analytics, data science, and product engineering to deliver impact across the organization. #J-18808-Ljbffr ...

office time for key moments. You should be fluent in Go or Python, with experience building robust, scalable services on AWS (S3, Lambda, Redshift, Kinesis). #J-18808-Ljbffr ...

data pipelines – implement efficient, reliable systems for ingesting, processing, and serving financial data. Engineer Cloud-Native Solutions on AWS (Lambda, ECS/EKS, S3, Redshift, etc.) and automate deployments with GitHub Actions & Pulumi. Collaborate & Brainstorm with our engineering team – we frequently share ideas to innovate, plan strategy and decide ...

Azure DevOpsExperience with data platforms and tools such as Azure Data Factory, Databricks, SQL Database, Synapse Analytics, Stream Analytics, AWS Glue, Airflow, Kinesis, Redshift, SonarQube and PyTestExperience in commodity trading and supply operations, ideally within the energy sectorStrong communication skills with both technical and business audiences and ability ...

with containerisation and infrastructure technologies such as Kubernetes, Docker, Terraform and Helm. Experience working with complex data models and platforms such as Snowflake, Postgres, Redshift or comparable large-scale data technologies. Comfortable with modern engineering tooling such as GitHub, GitHub Actions, Maven, Cucumber and mocking frameworks. Ability to design ...

with containerisation and infrastructure technologies such as Kubernetes, Docker, Terraform and Helm. Experience working with complex data models and platforms such as Snowflake, Postgres, Redshift or comparable large-scale data technologies. Comfortable with modern engineering tooling such as GitHub, GitHub Actions, Maven, Cucumber and mocking frameworks. Ability to design ...

monitoring, retries and clear approaches to failure recovery. Deploy and operate AI services. Work with AWS services including Lambda, ECS/EKS, S3 and Redshift, supported by Docker, GitHub Actions and Pulumi. Take responsibility for what you build. Follow your work through deployment, monitor its behaviour in production ...

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 ...

opportunities it brings. The Engage stack includes Javascript/TypeScript (NodeJS/Express, Python (Lambda & FastAPI) React Native), DocumentDB, Mysql, Postgres, Opensearch, Redshift and MongoDB. We use AWS for our cloud services and our infrastructure is managed with K8s, Terraform, Github Actions and Jenkins. We test with Jest ...

similar products, Data processing and analytics platforms, such as Apache Spark, Apache Beam, or their derivatives, Data warehouses in the cloud, such as AWS Redshift, GCP BigQuery, and Azure Synapse etc. Nice-to-have: Experience with graph databases such as Neo4j or other SQL/NoSQL databases 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 ...

Code (TypeScript, Python, Java, etc) in support of Investment Portfolio Management and Construction Utilizing AWS technologies such as Lambda, API Gateway, DynamoDB, S3, Glue, Redshift, EMR, Sagemaker, EKS/ECS. Working in a team with experienced software engineers to identify great projects and features that will help you grow ...

environments simultaneously - not cloud-only. Multi-cloud platform depth (AWS and GCP): hands-on experience with data services across one or both of AWS (Redshift, Glue, S3/Lake Formation, MSK, RDS) and GCP (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Data flow mapping and optimisation: demonstrable experience ...