1 to 25 of 99 Amazon Redshift Jobs

ensure reliability and maintainability. Cloud Data Architecture (AWS) Architect and implement cloud-native data solutions on AWS. Develop scalable and secure data platforms leveraging: Amazon S3 Amazon Redshift AWS Glue AWS Lambda Amazon EMR API Gateway Amazon CloudWatch AWS IAM Ensure adherence to security, governance … Skills & Experience Strong experience with Python and PySpark. Hands-on expertise with Apache Airflow. Extensive experience working with AWS cloud services. Strong knowledge of Amazon Redshift, AWS Glue, S3, Lambda, EMR, API Gateway, CloudWatch, and IAM. Experience with Terraform and Infrastructure as Code (IaC). Proficiency with ...

ensure reliability and maintainability. Cloud Data Architecture (AWS) Architect and implement cloud-native data solutions on AWS. Develop scalable and secure data platforms leveraging: Amazon S3 Amazon Redshift AWS Glue AWS Lambda Amazon EMR API Gateway Amazon CloudWatch AWS IAM Ensure adherence to security, governance … Skills & Experience Strong experience with Python and PySpark. Hands-on expertise with Apache Airflow. Extensive experience working with AWS cloud services. Strong knowledge of Amazon Redshift, AWS Glue, S3, Lambda, EMR, API Gateway, CloudWatch, and IAM. Experience with Terraform and Infrastructure as Code (IaC). Proficiency with ...

Senior Data Engineer (AWS) - Manchester (Senior Data Engineer, Lead Data Engineer, 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, Lead Data Engineer, Data Engineer) Our client … 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 ...

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 ...

environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

models optimized for analytics and reporting Modern Cloud Data Platforms Architect solutions using Azure data services (Microsoft Fabric, Synapse, Data Factory) Experience with AWS (Redshift, Glue), GCP (BigQuery), or Databricks-based lakehouse architectures Integrate modern tools for ingestion and transformation (ADF, Fivetran, dbt) Support orchestration frameworks such as Airflow ...

dashboard development. Power BI administration, including security, access management, gateways, and subscriptions. Advanced SQL development and optimisation. AWS services including Athena, S3, Lambda, Glue, Redshift, EC2, and RDS. PostgreSQL, Postgres RDS, MySQL, and AWS Athena. Data modelling and semantic layer design. DAX query language. Python for data processing ...

their products (S3, GCS, Kinesis, Pub/Sub, Lambda/Cloud functions, DataProc) Experience with one of the main databases for analytics (Redshift, BigQuery, Snowflake or other). Nice to have Experience modelling and transforming data from event collection to report curation, especially for e-commerce or affiliate businesses ...

HTML, and CSS Familiarity with asynchronous programming and event-driven architectures Understanding of data modeling and transformation using AWS services such as Glue, Lambda, Redshift, Athena, and S3 Familiarity with ML lifecycle concepts and tools Experience using Infrastructure as Code tools such as AWS CDK, CloudFormation, Terraform … Have: Experience with monitoring and analytics tools such as Grafana, InfluxDB, or similar Experience with cloud data stores and query engines such as Amazon Redshift, Athena, DynamoDB, Apache Iceberg and S3-based data lakes a plus Understanding of data modeling and transformation using AWS services such as Glue ...

databases. Strong hands-on expertise with: AWS DMS (Database Migration Service). AWS SCT (Schema Conversion Tool). AWS Glue (ETL & data integration). Amazon Redshift (data warehousing). Other Qualifications (OQs): Exposure to real-time replication tools (e.g., GoldenGate or equivalent). Database Administration (DBA) expertise, including ...

following are nice to have: Data Engineering & Programming: • Python • SQL • Spark/PySpark • Scala • Data modelling and warehousing concepts Cloud & Platforms: • AWS (S3, Redshift, Glue, EMR, Lambda) • Other cloud platforms (Azure/GCP considered) • Data lake and data warehouse architectures General: • Strong problem-solving skills • Experience working in agile ...

Data Engineering, Business Intelligence or related roles Strong hands-on experience with: AWS Data-based solutions and engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) SQL (advanced level) Python (for data processing and pipeline development) Infrastructure and tooling exposure (e.g. Terraform, APIs, CI/CD) AI/ML Exposure ...

communicate technical concepts to non-technical stakeholders Preferred Qualifications Experience with containerization and orchestration tools (Docker, Kubernetes) Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery) Familiarity with MLOps practices and model deployment pipelines Experience in Agile or Scrum environments Why Join Us? Hybrid flexibility with a modern office conveniently ...

such, I am keen to speak with candidates who have: Strong hands-on experience with AWS data engineering services such as Glue, S3, Lambda, Redshift or Athena. Advanced SQL skills for data modelling, transformation and analytics. Python experience for data processing and pipeline development. Background in data warehousing, analytics ...

Dagster, Prefect, or similar Hands-on experience with transformation frameworks such as dbt or Spark Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks Strong understanding of data modeling principles across analytical and operational systems Experience with monitoring and data quality tooling Familiarity with CI/ ...

working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

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 ...

Experience Strong experience in a Data Engineering or similar role Expertise in distributed data architecture and orchestration Strong experience with AWS services (S3, Glue, Redshift, Lambda, Step Functions, Kinesis) Hands-on experience with tools such as Databricks or Snowflake Strong SQL and Python skills, including advanced query optimisation ...

support the wider development of the Data Engineering function. Who you are: Strong hands on experience with AWS services including Glue, Lambda, S3, Redshift, and EMR. Proficiency in Python and SQL. Proven experience designing and building data pipelines and ETL solutions. Strong understanding of data warehousing principles and modern ...

5+ years' experience within Data Engineering or related development roles * Strong SQL development and optimisation experience * Hands-on experience across AWS technologies including S3, Redshift, RDS, MySQL and PostgreSQL * Strong understanding of data modelling, data structures, indexing, normalisation and reporting principles * Experience tuning and optimising complex queries and large ...

least 2 years building production pipelines for ML or analytics platforms Strong SQL and Python with hands-on experience in Snowflake, BigQuery, or Redshift Proven experience building ELT/ETL pipelines for structured financial data at scale Pipeline orchestration (Airflow, Prefect, or equivalent) and dbt Preferred Qualifications: Mortgage loan ...

related initiatives and roadmap delivery * Apply best practices around data quality, governance and performance optimisation * AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena) * SQL (advanced level) * Python (for data processing and pipeline development) * Infrastructure/tooling exposure (e.g. Terraform, APIs, CI/CD beneficial) * Experience working ...

Apply best practices for data quality, governance, and performance optimisation Core Technical Skills Strong hands-on experience with: AWS data stack (Glue, S3, Lambda, Redshift, Athena) Advanced SQL Python for data processing and pipeline development Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable) Experience ...

optimization. What We Are Looking For Core Technical Stack: AWS Expertise: Strong hands-on experience with the AWS Data Engineering stack (Glue, S3, Lambda, Redshift, Athena). Languages: Advanced SQL and Python (specifically for data processing and pipeline development). Environment: 4-8+ years in Data Engineering/ ...

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). Build optimised, scalable data models. Apply performance tuning and optimisation across storage. Ensure secure handling of data including authentication ...