10 of 10 Contract Amazon Redshift Jobs

Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯

data governance, data quality, and compliance standards. Strong analytical and problem-solving skills with attention to detail. Excellent communication and documentation abilities. Preferred: Exposure to cloud data platforms (AWS Redshift, Azure Synapse, Google BigQuery, Snowflake). Knowledge of Python, R, or other scripting languages for data manipulation. Experience in banking, financial services, or enterprise IT environments. More ❯

models, not dashboarding. YOUR SKILLS & EXPERIENCE The successful candidate will have: Strong SQL and DBT experience. Familiarity with Kimball methodology, dimensional modelling, and star schema design. Proven experience with Redshift or Snowflake. Strong background in cloud-based data environments (AWS preferred). Hands-on experience with Airflow for orchestration. (Nice-to-have) Python for data engineering tasks. (Nice-to More ❯

so you will be required to work through an umbrella company. You must have several years experience in data platform engineering. You will have Cloud expertise including AWS - RDS, Redshift, DMS & Lambda, OCI Cloud data services and Infrastructure-as-Code - Terraform, & AWS CloudFormation. You will also have experience of Replication & Streaming including IBM CDC replication technologies, Confluent Kafka & IBM More ❯

systems at scale. Preferred Skills Familiarity with Python (Jupyter) and ML frameworks (e.g., PyTorch). Knowledge of monitoring tools (Prometheus, Grafana). Experience with cloud-based databases (RDS, Aurora, Redshift, Cloud SQL, etc.) and visualization tools (QuickSight, Superset). Understanding of CI/CD pipelines and tools (e.g., CircleCI). Why Join Us Be part of a pioneering team More ❯

experience a plus). Skills & Experience: Strong SQL expertise and hands-on experience with DBT. Familiarity with Kimball dimensional modelling concepts. Experience working with cloud data warehouses such as Redshift or Snowflake. Knowledge of Airflow for workflow management. Comfortable in AWS environments and data orchestration. Bonus: Python programming skills and familiarity with dashboarding tools. Contract Details: Duration: 3 months More ❯

to reduce time-to-production for experiments and prototypes. Design and optimize data wrangling and transformation workflows using Python. Leverage AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version control … background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration, CI/CD, and deployment automation. Deep understanding of ML Ops More ❯

greatly enhance the capabilities of emergency services, allowing them to share vital data and information quickly and securely, improving response times and overall public safety. Required Skills Data Stage, RedShift, QuickSight, S3 data migration/ETL both batch and real time data warehouse development DevSecOps Java SQL relational databases GitHub/lab experience Nice to have: Data quality xml More ❯

to London. This role is ideal for someone with strong experience in data migration, ETL (both batch and real-time), and data warehouse development. What you'll need: DataStage Redshift QuickSight S3 Java SQL Relational databases GitHub/lab experience Experience with DevSecOps and building scalable data platforms Nice to have: Data quality expertise XML knowledge AWS Data Speciality More ❯

assets and design scalable, secure AWS data solutions that align with business objectives. Design and build data models, pipelines, and storage solutions using various AWS data services (e.g., S3, Redshift, Glue, Lambda). Establish data policies, standards, and security controls (like encryption and access management) to ensure data integrity, compliance, and accessibility. Work with business analysts, data engineers, and …/experience: 8+ years of experience in software development and architecture. 5+ years of hands-on experience designing and implementing solutions on AWS. Strong proficiency in AWS services primarily Amazon SQS, Lambda, S3, CloudTrail, Aurora PostgreSQL, API Gateway, IAM, AWS Athena. Experience with microservices architecture, serverless computing, and containerization. Proficiency in programming languages, primarily Python and Node.js, will be More ❯