1 to 25 of 39 Amazon Redshift Jobs in the South East

Python, or C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow More ❯

from various sources into AWS data stores for both batch and streaming data ingestion. AWS Expertise: Utilize your expertise in AWS services such as Amazon EMR, S3, AWS Glue, Amazon Redshift, AWS Lambda, and more to build and optimize data solutions. Data Modeling: Design and implement data … a related field. 5 to 8 years of experience in data engineering, including working with AWS services. Proficiency in AWS services like S3, Glue, Redshift, Lambda, and EMR. Knowledge of Cloudera-based Hadoop is a plus. Strong ETL development skills and experience with data integration tools. Knowledge of data More ❯

experience in data engineering (5+ years), with at least 2 in a people leadership role. Hands-on experience with data warehouse solutions such as Redshift, Snowflake, or BigQuery. Strong command of SQL and programming languages like Python, Scala, or Java. Familiarity with ETL/ELT tools (e.g., Airflow, Fivetran More ❯

a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding More ❯

data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯

and performance, resolving any issues proactively. Key skills required: Strong Data Engineering experience, preferably within the media or entertainment industry. Strong expertise in AWS & Redshift, including performance tuning, data modeling, and schema design. Hands-on experience with Matillion (or similar) ETL/ELT processes. Proficiency in SQL & Python Proven More ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯

scalable AWS data solutions while mentoring junior engineers. Key Responsibilities: Lead the development and implementation of AWS data components, including Firehose, Glue, Lambda, Athena, Redshift, and Quicksight. Support junior engineers through technical guidance, mentoring, and task leadership. Collaborate with cloud architects to evolve our MVP data platform toward a More ❯

Proficiency in AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background More ❯

Foods and to contribute to driving business performance through effective data-driven decision-making. The Key Requirements... Strong experience with AWS services (e.g., S3, Redshift, RDS) Proficiency in Matillion ETL Strong SQL skills Experience with data warehousing concepts and best practices Analytical mindset Self-motivated, results-driven Logical thinker More ❯

Data including: Understanding of Data Warehouse Architecture, Data Governance, Data Security Frameworks Experience with Cloud Platforms (e.g. Azure, AWS, GCP) and tools (e.g. Snowflake, Redshift, Azure Synapse) Data Visualisation e.g. Power BI, Tableau, Looker The charity typically leans towards Microsoft solutions so this are the more likely to be More ❯

with Python Tech (experience in any listed is advantageous) Python Cloud: AWS Lake house: Apache Spark or AWS Glue Cloud Native storage: Iceberg, RDS, RedShift, Kafka IaC: Terraform, Ansible CI/CD: Jenkins, Gitlab Other platforms such as Databricks or Snowflake will be considered You will have a fantastic More ❯

Query Optimisation, Indexing, Partitioning) SSIS Powershell Data Exploration (Postman, WSDL, JSON) Python Analytical & problem solving skills. Knowledge of AWS data processing technologies (Glue, Lambda, Redshift, Athena More ❯

Query Optimisation, Indexing, Partitioning) SSIS Powershell Data Exploration (Postman, WSDL, JSON) Python Analytical & problem solving skills. Knowledge of AWS data processing technologies (Glue, Lambda, Redshift, Athena More ❯

best practices, coding standards, and development processes Familiarity with debugging and troubleshooting ETL processes. Proficiency in SQL and relational databases (e.g., Oracle, SQL Server, Redshift and Postgrace etc.). Design and implement complex data transformation logic using Informatica PowerCenter transformations Develop, test, and implement ETL workflows and mappings using More ❯

BI A knowledge of data modelling and of general IT architecture and systems integration is also required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are also useful and you will be tech curious, keen and open-minded to learning new skills. Experience in Oracle More ❯

managing modern data platforms and cloud environments (e.g. Azure, AWS, GCP) Familiarity with BI tools (Power BI, Looker) and data warehousing platforms (e.g. Snowflake, Redshift) Comfortable in build-phase environments — someone who thrives on shaping new functions and culture Why This Role is Unique You’ll own data transformation More ❯

a real difference every day. Why This Role is Perfect for You: • Learn and Grow: Get stuck into using the latest AWS tools like Redshift, S3, and Kafka. You will be designing data models and building ETL pipelines, which means you are always learning something new and adding valuable More ❯

SQL, data warehousing, and data storing Highly skilled with ETL processes, data warehousing, and data storing Exposure to cloud-based data platforms such as Redshift 2+ years’ commercial experience within Data Engineering and/or Data Science More ❯

promoting a culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture … design a consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery More ❯

bricks · One or more of the following key technology skills: o Systems integration, APIs – REST, SOAP etc o SQL Server Integration Services (SSIS) o Amazon RedShift o Azure Synapse o SQL Server o Oracle Database o Oracle Data Integrator o Oracle Integration Cloud o Business Objects Data Services More ❯

integration, particularly using Typescript 5+ years of experience with HTML, CSS/SCSS and JavaScript Proficient in SQL and NoSQL databases, including Aurora Postgres, Redshift, DynamoDB Experience with Python, PHP, and NodeJS development Familiarity with AWS services, including but not limited to, S3, CloudWatch, and CloudFormation templating More ❯

even the entire data division. From a hands-on perspective, you’ll be designing and maintaining robust ETL pipelines, working with tools like AWS Redshift, S3, and Kafka, and collaborating with internal stakeholders to deliver insights into player behaviour and gaming analytics. You’ll work across both real-time More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

to support strategic decision-making across subscriber growth, content performance, and marketing effectiveness. What You'll Do: Build and manage scalable dashboards using QuickSight , Redshift , and SQL Deliver insights that drive growth and optimise business performance Enable teams across global markets to self-serve and interpret key analytics Support More ❯