teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, AmazonAthena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform … techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that inform product enhancements, user behaviour, and … 2.Proven experience as a Data Scientist, preferably in a cloud-based environment using AWS analytics services. 3.Strong proficiency in AWS analytics services, such as Amazon Redshift, AmazonAthena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency More ❯
as CI/CD, Application Resiliency, and Security Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts More ❯
the financial services industry and their IT systems Cloud implementation experience with AWS including: AWS Data Services: Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda + Step Functions + Event Bridge, ECS Data De/Serialization: Parquet and JSON format AWS Data Security: Good Understanding of security concepts More ❯
experience MariaDB, Oracle, MySQL, AWS Aurora (2 or more) 2+ years in MySQL scripting within cloud Data Migration projects AWS data migration testing, including Athena, Data Migration Service, or similar tools Additional skills include: Self-management and proactive decision-making with risk assessment Ability to translate technical concepts for More ❯
use cases. Develop data models and Data Lake designs around stated use cases to capture KPIs and data transformations. Identify relevant AWS services - on Amazon EMR, Redshift, Athena, Glue, Lambda, to design an architecture that can support client workloads/use-cases; evaluate pros/cons among the More ❯
solutions to support business growth. Responsibilities: Work with teams to understand objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design data pipelines and ETL processes for data extraction and transformation. Apply statistical and machine learning techniques for … predictive analysis, clustering, and pattern recognition. Develop KPIs and dashboards using Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Collaborate on data architecture, quality, and governance in AWS. Requirements: Bachelor's or master's in Computer Science, Statistics, Mathematics, or related fields. Experience … as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools like Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing. Skills in statistical analysis, machine learning, and programming languages such as Python, R, or Scala. Experience with SQL, NoSQL, and data visualization tools. More ❯
and support business growth. Responsibilities Collaborate with teams to understand business objectives and define analytics goals. Develop data analysis strategies using AWS services like Amazon Redshift, Athena, EMR, and QuickSight. Design and build data pipelines and ETL processes from diverse sources into AWS. Apply statistical and machine learning … techniques for predictive and segmentation analyses. Create dashboards and KPIs with Amazon QuickSight for decision-making. Perform exploratory data analysis to identify trends and insights. Work with data engineers to optimize data architecture, quality, and governance in AWS. Requirements Bachelor's or master's degree in Computer Science, Statistics … Mathematics, or related field. Experience as a Data Scientist in a cloud environment, preferably with AWS. Proficiency in AWS analytics tools such as Redshift, Athena, EMR, QuickSight. Understanding of data modeling, ETL, and data warehousing concepts. Skills in statistical analysis, data mining, and machine learning. Proficiency in Python, R More ❯
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
CreateFuture
data pipelines Automating and orchestrating workflows using tools like AWS Glue, Azure Data Factory, or Google Cloud Dataflow Working with platform services such as Amazon S3, Azure Synapse, Google BigQuery, and Snowflake Implementing Lakehouse architectures using tools like Databricks or Snowflake Collaborating closely with engineers, analysts, and client teams … with Python, SQL, Spar and data pipeline tools such as dbt or Airflow You’re comfortable working across cloud platforms – especially AWS (Glue, Lambda, Athena), Azure (Data Factory, Synapse), or GCP (Dataflow, BigQuery, Cloud Composer) You have a good understanding of data modelling, data warehousing and performance optimisation You More ❯
