26 to 50 of 319 Permanent Amazon Redshift Jobs

CD pipelines for Kubernetes deployments. Qualifications Experienced AWS DevOps engineer Proficient with AWS services like S3, Data Lakes, Glue, IAM, Data Pipelines, Lambda, QuickSight, Redshift, Fargate Deep understanding of AWS services, especially EKS and data-related services (S3, RDS Postgres) Strong knowledge of containerization technologies (Docker, Kubernetes) Experience with More ❯

a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding More ❯

a focus on backend, API, and data systems using tools like Pytest and Postman. Expertise in Pandas, SQL, and AWS analytics services (Glue, Athena, Redshift) for data profiling, transformation, and validation within data lakes. Solid experience with AWS (S3, Lambda, EMR, ECS/EKS, CloudFormation/Terraform) and understanding More ❯

is critical for structuring data for analysis. Proficiency in cloud platforms, such as AWS and GCP, with hands-on experience in services like Databricks, Redshift, BigQuery, and Snowflake, is highly valued. Advanced Python skills for data manipulation, automation, and scripting, using libraries like Pandas and NumPy, are necessary for More ❯

Assist with resolution of support issues. Requirements 4+ years of experience as a Data Engineer or on a similar role. Extensive experience with SQL, Amazon Redshift & ideally MySQL. Extensive experience with visualisation tools, ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python … use new technologies. Knowledge of SAP Business Objects would be helpful but not necessary – currently in use but in the process of migrating to Redshift & QuickSight. More ❯

Assist with resolution of support issues. Requirements 4+ years of experience as a Data Engineer or on a similar role. Extensive experience with SQL, Amazon Redshift & ideally MySQL. Extensive experience with visualisation tools, ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python … use new technologies. Knowledge of SAP Business Objects would be helpful but not necessary – currently in use but in the process of migrating to Redshift & QuickSight. More ❯

Assist with resolution of support issues. Requirements 4+ years of experience as a Data Engineer or on a similar role. Extensive experience with SQL, Amazon Redshift & ideally MySQL. Extensive experience with visualisation tools, ideally with Amazon QuickSight. Experience with AWS Glue and the ability to write Python … use new technologies. Knowledge of SAP Business Objects would be helpful but not necessary – currently in use but in the process of migrating to Redshift & QuickSight. More ❯

automation. Familiarity with cloud environments (AWS, Azure, or Google Cloud) for data infrastructure management. Hands-on experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Excellent analytical skills and a problem-solving mindset, with attention to detail. Experience in procurement, sustainability, or finance is highly valued. English is More ❯

automation. Familiarity with cloud environments (AWS, Azure, or Google Cloud) for data infrastructure management. Hands-on experience with data warehousing solutions (e.g., Snowflake, BigQuery, Redshift). Excellent analytical skills and a problem-solving mindset, with attention to detail. Experience in procurement, sustainability, or finance is highly valued. English is More ❯

data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯

data analysis, machine learning, and data visualization. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and related data services (e.g., S3, BigQuery, Redshift, Data Lakes). Expertise in SQL for querying large datasets and optimizing performance. Experience working with big data technologies such as Hadoop, Apache Spark More ❯

preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure More ❯

preferred) Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure More ❯

growing data practices. Expertise in data architecture, data modelling, data analysis, and data migration. Strong knowledge of SQL, NoSQL, cloud-based databases (e.g., AWS Redshift, Snowflake, Google BigQuery, Azure Synapse). Experience in ETL development, data pipeline automation, and data integration strategies. Familiarity with AI-driven analytics Strong understanding More ❯

If You Have: Experience with deploying analytics workloads on platform as a service ( PaaS ) and sof tware as a service ( SaaS ) , including AWS EMR, Redshift, or SageMaker or Azure Databricks, SQL Data Warehouse, or Machine Learning service Experience with distributed or parallel programming frameworks, including Apache Spark or NVIDIA More ❯

a large-scale modernization to an AWS cloud infrastructure Strong experience of 3+ years with AWS services such as EC2, S3, Lambda, RDS, DynamoDB, Redshift and IAM. Proficiency in designing scalable, cost-optimized, and secure AWS architectures. Certifications: AWS Certified Solutions Architect Professional or Associate. Solution Architecture and Delivery More ❯

structured and unstructured data from multiple sources, ensuring efficient data ingestion, transformation, and storage. Develop and optimize data lake and data warehouse solutions using Amazon S3, Redshift, Athena, and Lake Formation. Implement data governance, security, and compliance best practices, including IAM roles, encryption, and access controls. Monitor and … focus on AWS cloud technologies. Proficiency in Python, PySpark, SQL, and AWS Glue for ETL development. Hands-on experience with AWS data services, including Redshift, Athena, Glue, EMR, and Kinesis. Strong knowledge of data modeling, warehousing, and schema design. Experience with event-driven architectures, streaming data, and real-time More ❯

. Strong analytic skills related to working with unstructured datasets. Engineering best practices and standards. Experience with data warehouse software (e.g. Snowflake, Google BigQuery, Amazon Redshift). Experience building and optimising pipelines and ETL/ELT workflows. Working knowledge of data warehouse technologies (Snowflake, BigQuery). Code versioning More ❯

mobile app development, SQL, ETL or data pipelines, and data analysis. You have experience with cloud data warehouses/lakes including Snowflake, Databricks, BigQuery, Redshift, S3, and ADLS. You have experience with AWS, GCP, and/or Azure cloud services. You have strong technical skills and experience with data More ❯

experience in data engineering; Strong experience with Python and SQL; 3+ years of experience with cloud vendors (AWS/Azure/GCP), DWH services (Redshift, Databricks etc.), cloud storages (Azure Storage, S3); Strong experience with ETL/ELT/orchestration tools (Airflow, ADF, Glue, Nifi); Drive the design and More ❯

Hands-on experience with cloud-based data solutions (AWS, Azure, or Google Cloud). Strong understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery). Experience working with structured and unstructured data. Knowledge of data governance, security, and compliance best practices. Education and Experience: Bachelor's degree More ❯

on experience working with visualization tools including ThoughtSpot, Power BI or Tableau. Familiarity with leading cloud-based data warehouses such as Azure, BigQuery, AWS Redshift, or Snowflake. Strong analytical and problem-solving abilities to address complex data challenges. Detail-oriented mindset with a focus on data accuracy and quality. More ❯

and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for transformations. Familiarity with More ❯

physical). • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS More ❯

Amazon Music is awash in data! To help make sense of it all, the DISCO (Data, Insights, Science & Optimization) team: (i) enables the Consumer Product Tech org make data driven decisions that improve the customer retention, engagement and experience on Amazon Music. We build and maintain automated self … and provides independence to generate valuable insights in a fast, agile, and accurate way. This domain provides analytical support for the below topics within Amazon Music: Programming/Label Relations/PR/Stations/Livesports/Originals/Case & CAM. DISCO team enables repeatable, easy, in depth analysis … the cost in time and effort of analysis, data set building, model building, and user segmentation. Our goal is to empower all teams at Amazon Music to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data access through self More ❯