6 of 6 Permanent Amazon Redshift Jobs in Lancashire

cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement. AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. What you can expect Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem More ❯

from a similar environment. The Skill Requirements: Candidates must have a blend of the following: Excellent understanding of AWS Data Platforms, with services such as AWS Glue, S3, Lambda, Redshift, etc. Good understanding of management principles for data pipelines and ETL Good Python and PySpark Use of SQL Data platforms If you have experience migrating from an on-premise More ❯

Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team More ❯

Dagster or AWS Step Functions) for ETL design and orchestration, work on transformation logic to clean, validate and enrich data (including handling missing values, standardising formats and duplication), use Redshift for efficient loading strategies and write ETL pipelines that handle large volumes of data efficiently, with low latency. Location/WFH: You'll join a small but growing team More ❯

or scripting (PowerShell, Bash, Python) is a plus. Hands-on experience with Windows Server, Linux (RHEL) , and virtualisation tools (VMware, Citrix). Desirable: Exposure to data warehousing solutions (Snowflake, Redshift, BigQuery). Experience operating in hybrid cloud/on-prem environments. Knowledge of data modelling, replication, and query optimisation techniques. Please note that you will have to go through More ❯

scientists, and engineers to unlock automation, enable BI, and increase advanced analytics. What You'll Be Doing: Designing and building robust data pipelines using AWS Glue, Lambda, S3, and Redshift Leading the migration of legacy systems to a modern AWS architecture Ensuring data quality, integrity, and performance across platforms Developing scalable lakehouse and warehouse solutions Operationalizing machine learning models … Mentoring junior engineers and sharing best practices Staying ahead of the curve with emerging data technologies What You'll Bring: Solid hands-on experience with AWS (Glue, Lambda, S3, Redshift, EMR) Strong Python, SQL, and PySpark skills Deep understanding of data warehousing and lakehouse concepts Problem-solving mindset with a focus on performance and scalability Excellent communication skills across More ❯