26 to 35 of 35 Amazon Redshift Jobs in London

Months Work Mode: Hybrid (12 Days Onsite per week) Job Description Looking for L3 Data Engineer Support Key Skills & Expertise AWS Core Services : S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering/ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python ...

once semantics -EventBridge for event 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 Streaming Pipelines: Kinesis S3 Glue Glue Streaming DLQ patterns If you are interested in this position ...

additional BI tools: Power BI, Tableau, Qlik . Customer-facing migration experience (discovery planning execution operations). Strong SQL across multiple RDBMS (MySQL, PostgreSQL, Redshift, Oracle) plus scripting in Python/R . Excellent communication, presentation, and problem-solving skills. Why Apply? Work on leading-edge data transformation ...

Adobe Dynamic Tag Manager) changes. Integrate data sources via web and REST APIs. Data pipping and modelling using SQL, DBT, Airflow, ETL, Data Warehousing, Redshift and Python. Transfer knowledge of the business processes and requirements to the development teams. Collaborate with Product, Marketing and Development teams to collect business ...

value-selling skills; comfortable articulating ROI and business impact to both technical and business audiences. Familiarity with the modern data stack (e.g., Snowflake, BigQuery, Redshift, Databricks, dbt, modern BI tools) and how customers use data to drive decisions. Excellent communication, presentation, and negotiation skills in English; additional major EMEA ...

computer skills, including proficiency in MS Office Suite (Word, Excel, Powerpoint), experience using CRM software (eg, Salesforce) and cloud data platforms such as Snowflake, Amazon Redshift etc. Organization and Time Management: Exceptional organizational skills, attention to detail, and the ability to multitask and prioritise a demanding workload effectively. ...

computer skills, including proficiency in MS Office Suite (Word, Excel, Powerpoint), experience using CRM software (e.g., Salesforce) and cloud data platforms such as Snowflake, Amazon Redshift etc. Organization and Time Management: Exceptional organizational skills, attention to detail, and the ability to multitask and prioritise a demanding workload effectively. ...

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: Nave Bayes, Logistic Regression, SVM, Linear Regression, KNN, Tree-Based Models: Decision Trees, Random Forest, Gradient Boosted Trees ...

Months Work Mode: Hybrid (12 Days Onsite per week) Job Description Looking for L3 Data Engineer | Support | Key Skills & Expertise AWS Core Services : S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering/ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python … network logs, subscriber data) Data Lake Technologies: Expertise in Apache Iceberg table format Schema evolution, partitioning, compaction & metadata management Query performance tuning with Athena & Redshift Spectrum Redshift Expertise: Data modeling, distribution styles, sort keys Workload management (WLM) Performance optimization & troubleshooting Python: Automation scripts Data processing workflows Monitoring, debugging ...

technical requirements. Using SQL to analyse datasets, identify trends, validate assumptions, and support data-driven decisions. Working with AWS-based data platforms (e.g., S3, Redshift, Lambda, Glue) to support discovery, design and solution shaping. Mapping current and future-state processes, identifying gaps, inefficiencies, and opportunities for automation. Working with … data-driven or cloud-heavy environments. Hands-on SQL skills for querying, profiling, and analysing data. Practical exposure to AWS services (e.g., S3, Redshift, EC2, Lambda, RDS, Glue). Experience with data governance, information security, or privacy workflows. Knowledge of or direct involvement in Data Protection Impact Assessments (DPIAs ...