201 to 225 of 248 Amazon Redshift Jobs

model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control, containerization More ❯

model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control, containerization More ❯

model deployment and production monitoring. • Working knowledge of core data science concepts, such as model evaluation metrics, overfitting, data drift, and feature importance. • Proficiency in AWS services (like S3, RedShift etc) • Experience with Grafana for monitoring and alerting. • Good to have hands-on experience with Domino Data Lab platform. • Solid understanding of CI/CD pipelines, version control, containerization More ❯

reporting Develop robust, reusable data pipelines (API, flat-file, EDI) from supplier portals and internal systems (ERP, finance, CRM, operations) into a central warehouse (e.g., Snowflake/BigQuery/Redshift) Implement transformation and modelling layers (e.g., dbt) with well-documented, tested datasets (staging, marts) that map to key business domains (orders, jobs, invoices, suppliers, credit control) Establish data quality More ❯

reporting Develop robust, reusable data pipelines (API, flat-file, EDI) from supplier portals and internal systems (ERP, finance, CRM, operations) into a central warehouse (e.g., Snowflake/BigQuery/Redshift) Implement transformation and modelling layers (e.g., dbt) with well-documented, tested datasets (staging, marts) that map to key business domains (orders, jobs, invoices, suppliers, credit control) Establish data quality More ❯

Pricing & Promotions teams to deliver data products. Contribute to sprint planning and backlog shaping as part of the Commercial Ops analytics roadmap. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This is a hybrid role, with 2 days per week expected in either our Nuneaton office (CV10 7RH) The Person What We're Looking More ❯

teams to deliver end-to-end data products. Mentor mid-level analysts and help strengthen capability across the Commercial Ops analytics team. Work with a modern data stack, including Redshift, BigQuery, Matillion, and Retool. Location: This is a hybrid role based in Nuneaton, with the requirement to be in the office at least two days per week. The Person More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to align QA priorities with … QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data quality standards. Background in Agile More ❯

Data QA Engineer – Remote-first - £55-65,000 Overview: As a Data QA Engineer, you will ensure the reliability, accuracy and performance of our client’s data solutions. Operating remotely, you will work closely with Data Engineers, Architects and Analysts More ❯

Data Engineering experience Must have a secret clearance Desired: Familary with database systems within ARC/cPROBE, including PaaS or SaaS: a. Oracle b. SQL Server c. PostgreSQL d. RedShift e. Mongo DB Benefits include: Medical, Dental, and Vision Plans (PPO & HSA options available) Flexible Spending Accounts (Health Care & Dependent Care FSA) Health Savings Account (HSA) 401(k) with More ❯

working with Copado (strongly preferred) Experienced in Spark and Hive for big data processing Experience building job workflows with the Databricks platform Strong understanding of AWS products including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Jupyter Notebooks, Athena, QuickSight, EMR, and Amazon SNS Familiar with work to build processes that support data transformation, workload management, data More ❯

building features and ensuring high-fidelity cloud platform emulation to help developers test locally with speed and confidence. What you will be working on/responsible for Ensure Snowflake, Redshift, Athena, Glue, and future emulators are kept up to date with the latest syntax, behaviors, and APIs. Identify and resolve bugs, edge cases, and inconsistencies across emulated services. Maintain … warehouses, including SQL engines, query planning, storage layers, indexing, and SQL parsing/ASTs, with experience developing database features. Hands-on experience with cloud data platforms such as Snowflake, Redshift, Athena, or BigQuery, including optimization techniques and custom parsers/transpilers. Practical knowledge of distributed and analytical engines (e.g., Apache Spark, Trino, PostgreSQL, DuckDB) with skills in query engines More ❯

proficiency with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker, Kedro and MLflow. … using TypeScript, React, and Redux We implement GraphQL and RESTful APIs using NodeJS and Python Our backend services are implemented in C#/.NET or Typescript/NodeJS DynamoDB, Redshift, Postgres, Opensearch, and S3 are our go to data stores We run our ETL data pipelines using Python Equal Opportunities We are an equal opportunities employer. This means we More ❯

and stakeholder teams to align solutions with mission data strategies • Optimize and troubleshoot AWS data ingestion, processing, and transformation jobs for performance • Lead technical solutioning with AWS Glue, Lambda, Redshift, S3, and related cloud services • Develop documentation for data migration workflows, models, and processes • Provide expert support during migration testing, validation, and cutover • Ensure DoD data security, compliance, and … adherence Requirements: • BA/BS/MS in related technical field • Minimum five (5) years relevant data engineering experience • Deep hands-on expertise with AWS (Cloud, EC2, S3, Lambda, Redshift, IAM) and AWS Glue • Advanced SQL and scripting language proficiency • Strong knowledge of DevSecOps and CI/CD for data pipelines • Presentation, customer interface, and remote collaboration skills • Strong More ❯

Governance, Security & Compliance - aligned to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support … Assurance/Store Discount/Well Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent, T6/MN/1292110. More ❯

Governance, Security & Compliance - aligned to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support … Assurance/Store Discount/Well Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent, T6/MN/(phone number More ❯

integrity, scalability, and cost efficiency Managing complex data workflows and ML pipelines Ensuring model quality and performance Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI/ML Use Cases: Predictive click models, data quality optimization, GenAI search applications What You'll Bring 5-10 years' experience overall, with 3+ years in data engineering More ❯

integrity, scalability, and cost efficiency Managing complex data workflows and ML pipelines Ensuring model quality and performance Partnering cross-functionally across engineering, science, and product Tech Stack: Spark, Cassandra, Redshift AI/ML Use Cases: Predictive click models, data quality optimization, GenAI search applications What You'll Bring 5-10 years' experience overall, with 3+ years in data engineering More ❯

AWS Cloud Developer Washington, DC We are seeking a Redshift Developer or Oracle Developer with AWS experience (Top Secret clearance required) to join a data warehouse and business intelligence (BI) development team supporting our federal client working to migrate an on-prem Oracle Enterprise Edition (EE) data warehouse to Redshift instance in AWS. This is a full-time … priorities. Requirements: On-site Washington, D.C. Top Secret clearance required. Four to six years' experience planning, designing, developing, architecting, and implementing cloud database solutions with an emphasis on AWS Redshift Strong notion of security best practices (IAM, KMS, etc) Strong knowledge in PL/SQL code to perform ETL for both full loads and incremental loads from an OLTP More ❯

data platforms. The role focuses on AWS data services, IaC, CI/CD, and orchestration, supporting secure and scalable data operations. Responsibilities: Build and maintain AWS data services (S3, Redshift, Athena, Glue, Batch, Lambda, OpenSearch). Deliver Infrastructure as Code with Terraform. Manage workflows using Airflow and CI/CD pipelines (GitLab/GitHub). Monitor and secure data … infrastructure, access, and usage. Support data engineering environments with recovery, optimisation, and automation. Troubleshoot issues and contribute to process/documentation improvements. Experience: Essential: Strong AWS services experience (S3, Redshift, Athena, Glue, Batch, Lambda, Step Functions, SQS, EMR). Terraform (IaC), Airflow (orchestration), CI/CD (YAML, GitLab/GitHub). Python, SQL, Bash. AWS security/IAM, VPC More ❯

similar database platforms. Desired Qualifications: • Oracle Certified Professional (OCP) certification or equivalent • Advanced SQL experience in optimizing queries, stored procedures and complex joins • Experience with other database platforms like Redshift, Dynamo DB or Mongo DB Clearance • TS/SCI Work Environment/Schedule: • Full-Time • On-site Location: • Suitland, MD More ❯

using tools and frameworks aligned with ETL architecture best practices. Build and maintain ETL processes that ensure data quality, consistency, and performance across multiple environments. Integrate data pipelines with Amazon Web Services (AWS), leveraging services such as S3, Lambda, Glue, and Redshift to enable scalable and secure data processing. Develop and maintain schemas, data dictionaries, and transformation logic … Bachelor's degree in computer science, Engineering, Information Systems, or a related field 4-8 years of relevant experience in data engineering, ETL development, or database administration Proficiency in Amazon Web Services (AWS) and cloud-based data integration Strong experience with ETL architecture, data pipeline development, and end-to-end data processing Solid understanding of database management, including schema More ❯