26 to 29 of 29 Amazon Redshift Jobs in the City of London

Skills: Analytical Tools: - EDA, Data Mining, Visualization (Plotly, Matplotlib, Seaborn) - Statistical & Multivariate Analysis Big Data: - Hadoop, MapReduce, HDFS, DataBricks, Spark, PySpark - DataLake Architecture, AWS Redshift, Kinesis, EMR Machine Learning - Supervised Models: Naïve Bayes, Logistic Regression, SVM, Linear Regression, KNN - Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees ...

Utilize programming expertise in Python, Scala, and SQL for efficient data processing. Build data pipelines using cloud-native services on AWS, including Lambda, Glue, Redshift, and API Gateway. Monitor and optimise data solutions using AWS CloudWatch and other tools. What We’re Looking For: Proven hands-on experience … with Spark and Airflow Experience of designing data pipelines using cloud native services on AWS Extensive knowledge of AWS services like API Gateway, Lambda, Redshift, Glue, Cloudwatch, etc. Iac experience of deploying AWS resources using terraform Hands-on experience of setting up CI/CD workflows using GitHub Actions ...

from multiple sources Design and implement AWS-based data architecture and data models to support real-time analytics Populate, optimise, and maintain an AWS Redshift data warehouse Produce Tableau dashboards and reporting aligned to agreed business metrics Engage with programme teams and stakeholders to define reporting requirements and acceptance … agreed performance, quality, and scalability standards Skills Proven experience delivering data engineering solutions in AWS environments Strong hands-on experience with AWS services including Redshift, S3, Lambda, and DynamoDB Advanced SQL and Python development skills Experience integrating data via APIs Tableau dashboard development and data visualisation experience ...

routing and filtering. • Schema Management: Avro/Protobuf + Schema Registry (compatibility, subject strategy, evolution). • AWS Data Stack: S3/Glue/Athena, Redshift, Step Functions, Lambda; Iceberg-ready lakehouse patterns. Kinesis→S3→Glue streaming pipelines; Glue Streaming; DLQ patterns. • Payments & ISO 20022: PAIN/PACS/CAMT … Avro/Protobuf); backward/forward compatibility; event replay; mapping domain events to Kafka topics and Aurora tables. Nice-to-Have: - QuickSight/Tableau; Redshift tuning; ksqlDB/Flink; Aurora Postgres internals. - Edge/API constraints (Apigee/API-GW), mTLS/webhook patterns. ...