1 to 25 of 32 Amazon Redshift Jobs in Berkshire

advanced analytics, AI/ML, and BI capabilities across the enterprise. 2. Cloud Data Enablement Architect and implement cloud-native data solutions using AWS (Redshift, Glue, S3, Athena), Azure (Synapse, Data Factory, Databricks), or GCP (BigQuery, Dataflow, Pub/Sub). Guide the migration of on-premise data assets ...

What we're looking for • Solid grounding in Python for data engineering and automation • Strong SQL and experience with modern cloud warehouses (Snowflake, BigQuery, Redshift, Azure Synapse etc.) • Hands-on experience with workflow orchestration tools • Comfortable working with dbt or similar transformation frameworks • Experience in Azure is preferred ...

experience with dbt or similar transformation frameworks Proficiency in Python for data manipulation and pipeline support Experience working with cloud data warehouses (Snowflake, BigQuery, Redshift, or similar) Solid understanding of data warehousing concepts and modern ELT workflows Comfortable owning production data and supporting it end to end Strong communication ...

term reliability What they are looking for: • Strong experience in data engineering and cloud based data platforms • Experience with AWS services such as S3, Redshift and Lambda is ideal, but open to cloud agnostic and Azure backgrounds with lakehouse expertise • Hands on experience with Airflow, dbt and Kafka • Strong ...

approach to data delivery. Skills & Experience Needed Strong background in data engineering, especially within AWS environments. Hands-on experience with services such as S3, Redshift, and other AWS data ecosystem tools. Familiarity with modern data stack tools: Airflow, dbt, Airbyte (or similar). Proficient in building automated pipelines ...

e.g., MySQL, PostgreSQL, MongoDB, Cassandra). Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift). Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Desirable ...

similar data orchestration frameworks Strong understanding of RESTful APIs as well as experience working with both synchronous and asynchronous endpoints Experience with Snowflake or Redshift with a strong understanding of SQL. Proficient in Python and Pandas Experience working with JSON and XML Strong understanding of cloud computing concepts ...

cloud platform 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 Nice ...

multiple technology. Experience with one of the ETL Technologies Informatica, Talend or Azure Data Factory; streaming (Kafka). Experience across warehousing platforms (Teradata, Snowflake, Redshift, BigQuery, Synapse). Proven work with data catalog, lineage, DQ (Collibra/Purview; Great Expectations/dbt tests). Desirable skills: BFSI domain exposure ...

managed ML platforms such as SageMaker, Vertex AI or Azure ML Data engineering and MLOps Experience with data warehouses such as Snowflake, BigQuery or Redshift Workflow orchestration using tools like Airflow or Dagster Experience with MLOps tools such as MLflow, Weights and Biases or similar Awareness of data ...

batch and streaming ingestion, CI/CD tools (Azure DevOps, Terraform, AWS CodePipeline), and integration with databases such as SQL Server, PostgreSQL, Oracle, Redshift, and Synapse Strong hands-on background in building and optimising ETL/ELT pipelines using modern tooling and best practices Proficiency in reporting tools such ...

Skills requirements SQL ELT/ETL Data Modelling dbt models Version control (Git) Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 4 years+ experience as a Data Engineer solving complex and scaled ...

/ETL CI/CD Data Modelling Data Architecture Data Frameworks dbt Data processing and orchestration using Airflow or similar Google BigQuery or Redshift Cloud based services: GCP (preferred) or AWS Agentic development frameworks Automations About You 6 years+ experience as a Data Engineer solving complex and scaled data ...

Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, DynamoDB) Skilled in AWS analytics tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt) Understanding of information security best practices Strong verbal and written communication in English and local language Ability to lead ...

hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc. Extensive Python API design experience, preferably Fast API Strong SQL knowledge Nice to have skills Pyspark Databricks ETL design ...

principles and best practices. Excellent communication and interpersonal skills Preferred Skills: Experience in Database technologies - MS SQL Server, DB2 , Oracle, Postgres, AWS RDS/Redshift Experience in Data Integration - Messaging (IBM MQ) , AWS DMS, Kafka Experience in Data Visualisation - MicroStrategy, Microsoft Power BI Knowledge of authentication methodologies like OAUTH ...

Strong understanding of Abstract Data Types (ADTs) AWS & Cloud Technologies Extensive experience with AWS DMS and AWS SCT Strong working knowledge of AWS RDS, Redshift, and Glue Experience designing data solutions in AWS-native environments Databases Relational: MySQL, PostgreSQL, Oracle NoSQL: DynamoDB, MongoDB NewSQL: CockroachDB, Google Spanner (or similar ...

with SAS and/or Python is beneficial. Prior background in Financial Services, Consumer Finance, or Retail Banking. Knowledge of Cloud-based databases (e.g., Redshift/Azure) or automation tools (e.g., Airflow). Compensation, Benefits, and Recruitment Timeline Salary: £40,000 Bonus Scheme: Annual bonus. Working Pattern: Hybrid – typically ...

once semantics -EventBridge for event routing and filtering Schema Management: Avro, Protobuf Schema Registry: compatibility, subject strategy, evolution AWS Data Stack: S3, Glue, Athena, Redshift Step Functions, Lambda Iceberg-ready lakehouse patterns Streaming Pipelines: Kinesis → S3 → Glue Glue Streaming DLQ patterns Minimum years of experience: > 10 years ...

bonus (e.g. React), but not a must-have • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior Full Stack ...

Utilize programming expertise in Python, Scala, and SQL for efficient data processing. Build data pipelines using cloud-native services on AWS, including Lambda, Glue, Redshift, and API Gateway. Monitor and optimise data solutions using AWS CloudWatch and other tools. What We're Looking For: Proven hands-on experience … with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue, Cloudwatch, etc. Iac experience of deploying AWS resources using terraform Hands-on experience of setting up CI/CD workflows using GitHub Actions ...

processing. • Define the E2E Data architecture framework Required skills: Should have strong experience in AWS Data stack like S3/Lambda/Glue/Redshift etc., Should be able to do Schema Management Good experience in Payment platform and ISO 20022. Strong experience on streaming and EDA tools like … Scala/Python/SQL, IaC(Terraform), Glue/Spark, Lambda, CI/CD (Jenkins/Gitlab) Nice to have skills: - QuickSight/Tableau; Redshift tuning; ksqlDB/Flink; Aurora Postgres. - Edge/API constraints (Apigee/API-GW), webhook patterns. ...

Utilize programming expertise in Python, Scala, and SQL for efficient data processing. Build data pipelines using cloud-native services on AWS, including Lambda, Glue, Redshift, and API Gateway. Monitor and optimise data solutions using AWS CloudWatch and other tools. What We're Looking For: Proven hands-on experience … with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue, Cloudwatch, etc. Iac experience of deploying AWS resources using terraform Hands-on experience of setting up CI/CD workflows using GitHub Actions ...

quality and clarity The Tech You’ll Use Backend: Node.js, TypeScript, Express, AWS (Lambdas & services) Frontend: React, modular components, micro frontends Data: MySQL, MongoDB, Redshift Delivery: CI/CD pipelines, automated testing, cloud-first architecture (Python exposure is a plus, not a requirement.) What You’ll Spend Your Time ...

from multiple sources Design and implement AWS-based data architecture and data models to support real-time analytics Populate, optimise, and maintain an AWS Redshift data warehouse Produce Tableau dashboards and reporting aligned to agreed business metrics Engage with programme teams and stakeholders to define reporting requirements and acceptance … agreed performance, quality, and scalability standards Skills Proven experience delivering data engineering solutions in AWS environments Strong hands-on experience with AWS services including Redshift, S3, Lambda, and DynamoDB Advanced SQL and Python development skills Experience integrating data via APIs Tableau dashboard development and data visualisation experience ...