101 to 125 of 441 Amazon Redshift Jobs

designing and delivering enterprise-scale data solutions Proficiency in data modelling techniques and strong SQL skills Experience with cloud data platforms, particularly AWS (Redshift, Athena, S3, Glue); exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse ...

relevant: 5–6+ years in a senior data engineering, architecture, or platform role Strong hands-on experience wi th AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience wi th real-time and batch data process ing — Apache Flink, Kafka, Spark, or similar Proficiency in one or more ...

Clearance and Active NPPV3 to be considered for this role. Essential Skills Strong Terraform (IaC) experience Solid AWS knowledge (EC2, S3, Lambda, IAM, VPC, Redshift) Git/GitLab + CI/CD pipelines (GitLab CI) Experience with DevOps practices & automation Scripting: Python, Bash, Ansible Docker & Kubernetes (working knowledge) Strong ...

Data Factory), plus experience implementing CI/CD for data; knowledge of Informatica tools is beneficial. Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake, along with strong SQL capability and working knowledge of Python/PySpark. Ability to synthesise complex business and technical ...

data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling Extensive experience designing ...

What we're looking for 6+ years' experience in data architecture on complex, secure programmes Strong hands-on AWS experience (EC2, S3, RDS, Lambda, Redshift); Azure or GCP a bonus Proven experience using Apache Flink for real-time, high-throughput data processing Experience leading, mentoring and developing technical teams ...

information technology, engineering or equivalent 3+ years of experience with Python, SQL, and data visualization/exploration tools Familiarity with the AWS ecosystem specifically RedShift and RDS Communication skills, especially explaining technical concepts to non-technical business leaders Experience building or maintaining ETL processes Square Peg Technologies Company Information ...

information technology, engineering or equivalent 3+ years of experience with Python, SQL, and data visualization/exploration tools Familiarity with the AWS ecosystem specifically RedShift and RDS Communication skills, especially explaining technical concepts to non-technical business leaders Experience building or maintaining ETL processes Square Peg Technologies Company Information ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...

analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design ...