1 to 25 of 74 Amazon Redshift Jobs

that fuel analytics, AI/ML, and data-driven operations.* Design and build high-performance data integration solutions: Use AWS Glue, AWS Step Functions, Amazon EventBridge, and AWS Database Migration Service (DMS) to orchestrate ingestion, transformation, and movement of data across on-premises and cloud sources into Amazon … Design and oversee the delivery of secure lakehouse and warehouse architectures: Implement logical and physical data models, data quality controls, and governance practices using Amazon S3 (data lake), AWS Lake Formation, Amazon Redshift, and Amazon Athena to ensure trusted data.* Ability to design AI/ ...

Data Engineer (AWS) - Manchester (Data Engineer, Senior Data Engineer, ETL, AWS, AWS Glue, AWS Lambda, AWS S3, AWS Redshift, Amazon EMR, Python, SQL, Pipeline Orchestration, PySpark, data warehousing, data lakehouse, data architecture, Agile, Senior Data Engineer, Data Engineer) Our client is a global innovator and world leader with … Juniors. The successful candidate will have strong AWS proficiency, including experience with AWS services such as AWS Glue, AWS Lambda, AWS S3, AWS Redshift, and Amazon EMR. Proven expertise in Python, SQL, Pipeline Orchestration and PySpark is also expected, as is experience with data lakehouse architectures and data ...

Supporting the delivery of accurate and actionable business insights Skills & Experience We're looking for experience with some or all of the following: DataStage Amazon Redshift Amazon QuickSight AWS Amazon S3 SQL Java Relational Databases GitHub or GitLab You don't need to tick every box. ...

with the technical implementation of the data platform. Responsibilities include: Designing ETL and ELT pipelines Change Data Capture (CDC) AWS Database Migration Service (DMS) Amazon Redshift optimisation SQL performance tuning Data pipeline monitoring Automation Data lifecycle management AWS Data Platform Own the organisation's cloud data platform, including … Amazon Redshift AWS Database Migration Service (DMS) Amazon S3 AWS Glue (where appropriate) Ensure the platform remains secure, scalable and cost-effective. Skills & Experience Essential Strong financial services experience in an FCA regulated environment Significant experience designing enterprise data warehouses Strong commercial awareness Excellent understanding of financial ...

globally distributed teams in collaborative delivery environments. Deep working knowledge across key AWS Data & Analytics services, including: Building large-scale data lake architectures on Amazon S3 and open table formats Implementing governance and cataloging through AWS Lake Formation. Developing ETL and metadata frameworks using AWS Glue. Leveraging AWS Lambda … serverless data processing. Running distributed data workloads on Amazon EMR. Enabling real-time data pipelines with AWS Kinesis (Data Streams and Firehose). Orchestrating pipelines using AWS Step Functions/Amazon MWAA/similar services. Designing and optimizing schemas and query performance on Amazon Redshift, including ...

data governance, data quality, and security practices. Familiarity with CI/CD pipelines and version control tools. Preferred Skills Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery. Knowledge of real-time streaming technologies such as Kafka. Exposure to Agile delivery methodologies. Experience in large-scale data transformation or modernization ...

Ability to work directly with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational ...

Ability to work directly with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational ...

Ability to work directly with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational ...

predictive and prescriptive insigh ts.ETL & Data Engineering: Experience designing scalable ETL/ELT pipelines using modern tools and framewor ks.Cloud Platforms: Familiarity with AWS (Redshift, Athena, S3) or Azure (Synapse, Data Lake, AD F).Data Governance: Understanding of GDPR, PII, and secure data management principl es.Communication: Strong data storytelling ...

using Python and SQL Migrate data from legacy SQL environments into a cloud-native architecture Essential Skills SQL and Python Hands-on experience with: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Athena Data warehouse and data lake design experience ETL/ELT development and optimisation Data ...

least 2 years hands-on across modern data platforms Strong SQL, data modelling, and query optimisation skills Practical experience with Snowflake, Databricks, AWS Redshift, or Microsoft Fabric Solid grounding in ETL/ELT pipelines and data warehousing principles Strong communication and problem-solving skills Comfortable working both independently ...

orchestration tools such as Apache Airflow or Dagster Experience with big data storage and processing technologies such as dbt, Spark, SQL, Athena/Trino, Redshift, Snowflake, PostgreSQL or MySQL Knowledge of event-driven architectures and streaming technologies such as Apache Kafka, Kafka Streams or Apache Flink Experience with public ...

Software Dev Engineer, Amazon Security Automation Job ID: 10498444 | Amazon UK Services Ltd. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products … NextGen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

orchestration tools such as Apache Airflow or Dagster Experience with big data storage and processing technologies such as dbt, Spark, SQL, Athena/Trino, Redshift, Snowflake, PostgreSQL or MySQL Knowledge of event-driven architectures and streaming technologies such as Apache Kafka, Kafka Streams or Apache Flink Experience with public ...

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 ...

pipelines, including support for legacy Datastage decommissioning and modernisation. Work with a variety of database technologies including relational, NoSQL, MPP and columnar stores (BigQuery, Redshift, Azure SQLDW, HBase, MongoDB). Implement streaming and messaging‐based pipelines using Kafka, Pulsar or Pub/Sub. Build optimised, scalable data models ...

tests, Elementary, Soda, or Deequ. Familiarity with AWS data services ( S3, Athena, Glue ) Experience working with data lakes or modern data warehouses ( Snowflake, Redshift, BigQuery ) A pragmatic problem solver who can balance technical excellence with business needs Able to architect custom AI solutions and smart automated systems that ...

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 ...

solving processes Build and maintain trusting relationships and partnerships with internal and external stakeholders Требования Experience with cloud data warehousing solutions such as Snowflake, Amazon Redshift, or AWS Understanding of data integration processes and tools such as Databricks, DBT, or Glue Ability to design data models aligned with ...

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 warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing ...

experience with dbt or similar ELT tools. Experience building and optimising scalable data pipelines and data warehouses. Knowledge of AWS technologies such as Redshift, S3 and Athena. Experience with Airflow, Fivetran or similar orchestration and integration tools. Strong Linux/Unix and Bash scripting skills. A solid understanding ...

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 ...