7 of 7 Amazon Redshift Jobs in the North East

with a focus on data platforms and cloud data solutions . Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda) . Strong background in data architecture , including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies More ❯

with cross-functional teams, and develop data-driven solutions to support business growth. Responsibilities: Understand business 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 and segmentation analyses. Develop … s or master's degree in Computer Science, Statistics, Mathematics, or related fields. Experience as a Data Scientist, preferably with AWS analytics services. Proficiency in AWS tools such as Redshift, Athena, EMR, and QuickSight. Understanding of data modeling, ETL, and data warehousing. Knowledge of statistical analysis, machine learning, and programming languages like Python, R, or Scala. Experience with SQL More ❯

selection, cost management and team management Experience required: Experience in building and scaling BI and Data Architecture Expertise in modern BI and Data DW platforms such as Snowflake, BigQuery, Redshift, Power BI etc Background in ETL/ELT tooling and Data Pipelines such as DBT, Fivetran, Airflow Experienced in Cloud based solutions (Azure, AWS or Google More ❯

Engineer with strong experience of data models, data mining and segmentation techniques You have coding skills with Python (or C#) and SQL You have experience with SQL databases (e.g. Amazon Redshift, PostgreSQL) You have experience with data tooling (e.g. Airflow, DBT, AWS Kinesis) You have strong analysis and problem solving skills You're collaborative with excellent communication skills More ❯

proficiency across the data lifecycle Experience with database back-up, recovery, and archiving strategy Proficient knowledge of linear algebra, statistics, and geometrical algorithms Knowledge of data warehousing solutions like Amazon Redshift, Snowflake or Databricks. Preferred Qualifications Understanding of machine learning concepts and tools is a plus. About Us J.P. Morgan is a global leader in financial services, providing More ❯

best practices. Experience of working across discipline and team boundaries in an engineering capacity. Experience of building and maintaining complex infrastructure on AWS (e.g. Elastic, Lambda, SNS, SQS, S3, Redshift, Cloudwatch). Experience of making highly available, resilient systems and services with good knowledge of observability. Expertise with CI/CD pipelines. Expertise in test driven development and testing More ❯

travel expenses, certification schemes, a 10% combined pension, private medical insurance, and uncapped progression opportunities. Responsibilities Lead data engineering and architecture projects Design and implement data warehousing solutions (Snowflake, Redshift, BigQuery) Develop and manage ETL processes (Data Fabric, Data Mesh) Implement DevOps practices (IaC, CI/CD, Containers) Manage and lead teams Engage with clients to understand and deliver More ❯