1 to 25 of 73 Amazon Redshift Jobs

enterprise reporting. Lead the BI roadmap: consolidation, migration, and modernization (e.g., SSRS/Excel to Power BI; on-prem to AWS Glue + Amazon Athena + Amazon Redshift + Amazon QuickSight). Design and optimize complex data models using Tabular Editor and DAX Studio.  Manage ...

environment, contributing to technical discussions and problem-solving initiatives. Senior Data Engineer Requirements: Proven experience in building and managing cloud-based data platforms (AWS Redshift/Glue, Azure Data Factory/Synapse, Google BigQuery/Dataflow). Strong programming skills in Python, SQL, and Java for data engineering tasks. ...

Data Engineer: Design, build and maintain scalable data pipelines and architectures within the AWS ecosystem Leverage services such as AWS Glue, Lambda, Redshift, EMR and S3 to support data ingestion, transformation and storage Work closely with data analysts, architects and business stakeholders to translate requirements into robust technical solutions ...

large on prem to AWS migration programme in replicating data pipelines in readiness for a lift and shift to the cloud. Essential: AWS and Redshift In full: Role purpose Reporting to the Lead Data Engineer, the Data Engineer is responsible for designing and maintaining scalable data pipelines, ensuring data ...

have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise ...

various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data ...

engineering, and DevOps. You will be accountable for solution design, engineering standards, and delivery assurance across an AWS data platform using S3, Glue, and Redshift . Key Responsibilities Providing hands-on technical leadership and mentoring to a small delivery team Designing and delivering data ingestion, transformation, and storage patterns … using S3, AWS Glue, and Redshift Owning data architecture decisions, including data modelling, partitioning strategies, and performance optimisation Defining and enforcing engineering standards across code quality, testing, CI/CD, IaC, and observability Building and optimising ELT/ETL pipelines using Glue (PySpark) , Lambda, Step Functions, and event-driven ...

technical stakeholders. Skills & Experience: We’re looking for strong hands-on experience across modern data platforms, including: Proven experience with AWS data technologies: S3, Redshift, Glue, Lambda, Lake Formation, CloudFormation Experience building and deploying cloud data platforms Infrastructure-as-Code and CI/CD practices (GitHub, CodeBuild, pipelines) Strong ...

models. Proven experience in designing and deploying data solutions, data architectures on AWS, with hands-on expertise in services such as EC2, S3, RDS, Redshift, Glue, Lambda, Athena and Kinesis. Desirable: AI/Gen AI/ML services (e.g., SageMaker, Bedrock, Lex, Comprehend, Transcribe). Desirable: Experience with architecting ...

Google Cloud Platform or related technologies. • Experience with other cloud platforms (eg AWS, Azure, Snowflake) and data warehouse/lakehouse technologies (eg Redshift, Databricks, Synapse) • Knowledge of distributed big data technologies. • Proficiency in Python. • Familiarity with data governance and compliance frameworks.Your characteristics as a Consultant will include: • Driven ...

ensure compliance with government security standards. Troubleshoot and resolve issues in complex cloud environments. Essential Skills Strong experience with AWS services (Glue, Lambda, S3, Redshift, IAM). Proficiency in Python and SQL for data engineering tasks. Knowledge of data modelling, ETL frameworks, and best practices. Familiarity with security ...

usage, recommending improvements and efficiencies. Driving continuous improvement across pipelines, tooling, automation, and release processes. Main Skills Needed: Strong hands-on AWS experience across Redshift, S3, EMR, Lambda and infrastructure-as-code. Demonstrated ability to align with DevOps while maintaining distinct responsibilities within the BI function. Proficient with ...

processes. Programming: Experience with programming languages like Python, Java, or Scala. Cloud Data Platform: Strong experience with Cloud Data Platform like Databricks (preferred) , Snowflake, Redshift, etc. Databricks Expertise: Deep understanding of Databricks architecture, including clusters, jobs, notebooks, and workspaces. Database Technologies: Knowledge of relational and NoSQL databases. Infrastructure ...

Databricks and Apache Spark • Proficiency in Python (required); SQL (advanced) • Hands-on experience with AWS or Azure cloud services: o AWS: S3, EMR, Glue, Redshift, Lambda, IAM o Azure: ADLS Gen2, Azure Databricks, Synapse, Data Factory, Key Vault • Experience with Delta Lake, Parquet, and data modeling ...

years experience in data engineering, ETL, or data warehousing Strong SQL skills and experience with relational databases Experience with cloud data platforms (e.g. AWS Redshift, Azure) Hands-on experience with ETL tools (e.g. dbt, CData) and scripting (Python, Shell) Solid understanding of data modelling, governance, and performance optimisation Strong ...

years experience in data engineering, ETL, or data warehousing Strong SQL skills and experience with relational databases Experience with cloud data platforms (e.g. AWS Redshift, Azure) Hands-on experience with ETL tools (e.g. dbt, CData) and scripting (Python, Shell) Solid understanding of data modelling, governance, and performance optimisation Strong ...

Functions. Skilled in modern programming, particularly Python, Java, Scala and PySpark. Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop. Experience building and managing AWS data lakes on S3 for both structured and unstructured data. What happens next? To apply, please ...

Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark (using PySpark). Familiarity with cloud data services ( AWS S3/Redshift, Azure Data Lake/Synapse, or Google BigQuery/Cloud Storage ). Exposure to workflow orchestration tools ( Apache Airflow, Prefect, or Dagster ). Bachelor ...

Solid cloud experience — ideally AWS (open to GCP). Orchestration experience (Dagster, Airflow, or similar). Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery. Infrastructure‐as‐code experience (Terraform or Pulumi). Strong data modelling capability (dimensional modelling, Data Vault, etc.). Background in software engineering ...

/Knowledge/Experience Advanced knowledge of data engineering principles, including data warehousing and data lakes . Proficiency in AWS cloud services (e.g., S3, Redshift, Glue, EMR, Lambda) for data storage, processing, and orchestration. Exposure to machine learning pipelines and integration with data engineering workflows. ...

e.g. SAP, Oracle, NetSuite, Workday) Exposure to BI and reporting tools (e.g. Power BI, Tableau, Looker) Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Familiarity with automation, orchestration, or analytics engineering tools (e.g. dbt, Airflow) Robert Half Ltd acts as an employment business for temporary positions ...

Classification policies. Maintain data dictionary. Maintain business level data model. Recommending and introducing new technology where needed. Core: Cloud data platforms (e.g. Snowflake, BigQuery, Redshift) Data transformation technology such as DBT Visual Studio Code Python CI automation systems such as Jenkins A git-based source control system such ...

maintain ETL/ELT pipelines using Python and SQL Orchestrate workflows with Airflow Work with cloud data platforms (AWS/GCP, BigQuery/Redshift) Improve data quality, monitoring, and reliability Collaborate with analysts and engineers to deliver trusted data What we're looking for: 3+ years' experience in data ...

business needs into well-structured data models Skills & Experience: You should have: Advanced SQL skills and strong experience with cloud data warehouses (Snowflake, BigQuery, Redshift, etc.) Extensive hands-on experience using dbt to build and manage analytics models Deep understanding of dimensional modelling and analytics engineering best practice Experience ...

skills Deep knowledge of modern data engineering patterns (ETL/ELT, data lakes, lakehouse, warehousing) Hands-on experience with cloud data platforms (AWS preferred: Redshift, Athena, S3, Glue; Azure or GCP beneficial) Experience with data governance, data quality, metadata management, and regulatory considerations Personal attributes Strong business acumen ...