326 to 350 of 1,029 Amazon Redshift Jobs

years using Python or similar scripting languages for data science Experience with data processes and building ETL pipelines Experience with cloud data warehouses such as Snowflake, Azure Data Warehouse, Amazon Redshift, or Google BigQuery Proficiency in creating visualizations using Power BI or Tableau Experience designing ETL/ELT solutions with tools like SSIS, Alteryx, AWS Glue, Databricks, IBM More ❯

customers modern data platforms. The ideal candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the design and development of scalable data solutions that support our organization's strategic goals. … big data platforms. Establish best practices and standards for data modeling, integration, and management. Platform Design and Implementation: Architect, design, and implement data warehouse solutions using platforms like Databricks, Redshift, BigQuery, Synapse, and Snowflake. Develop scalable big data solutions using cloud data technologies and services. Ensure the data architecture supports data quality, security, and governance requirements. Technology Leadership: Evaluate … architecture, data warehousing, and big data solutions. 5+ years of experience working in Cloud AWS, GCP or Azure. 5+ years of experience working in modern cloud data platforms (Databricks, Redshift, BigQuery, Synapse, SAP Datasphere, and Snowflake.) 5+ years of experience designing Cloud Infrastructure on AWS, GCP or Azure. Extensive experience with data warehouse platforms such as Teradata Oracle, SAP More ❯

pipelines and solutions for data ingestion, transformation, and delivery. Use Python to automate data workflows, support ETL processes, and enhance analytics capabilities. Work with relational databases such as MySQL, Redshift, and PostgreSQL to manage and model structured data. Leverage AWS cloud services including S3, Redshift, Athena, and Lambda to support data storage, querying, and processing. Support business reporting … experience with SQL and a strong grasp of data modelling concepts. Proficiency in Python , particularly for data transformation, automation, and analytics. Hands-on exposure to AWS data services (S3, Redshift, Athena, Lambda) is a strong advantage. Understanding of BI/reporting tools and how to support business intelligence needs. Familiarity with version control systems (Git) and collaborative engineering practices. More ❯

Core Analytics Tooling teams to enhance upstream data sources and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as … experience (Python) to process data for modeling Experience with SQL Experience in the data/BI space Preferred qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets If you are interested please apply or send your CV to More ❯

Core Analytics Tooling teams to enhance upstream data sources and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as … experience (Python) to process data for modeling Experience with SQL Experience in the data/BI space Preferred qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets If you are interested please apply or send your CV to More ❯

Core Analytics Tooling teams to enhance upstream data sources and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as … experience (Python) to process data for modeling Experience with SQL Experience in the data/BI space Preferred qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets If you are interested please apply or send your CV to More ❯

Core Analytics Tooling teams to enhance upstream data sources and develop data processes to enable more scalable and accurate reporting. Basic qualifications Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as … experience (Python) to process data for modeling Experience with SQL Experience in the data/BI space Preferred qualifications Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets If you are interested please apply or send your CV to More ❯

This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands … on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion More ❯

This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands … on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion More ❯

This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands … on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion More ❯

This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands … on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion More ❯

This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Dashboarding & Visualisation: Mode Analytics (SQL-based) Ideal Background: Strong SQL skills with hands … on experience in dbt and modern cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion More ❯

AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with senior leadership and … engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/CD processes and infrastructure-as-code. • Eligible More ❯

AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with senior leadership and … engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/CD processes and infrastructure-as-code. • Eligible More ❯

AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with senior leadership and … engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/CD processes and infrastructure-as-code. • Eligible More ❯

AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with senior leadership and … engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/CD processes and infrastructure-as-code. • Eligible More ❯

AWS expertise and a consulting mindset as an experienced Principal Data Engineer. Key Responsibilities • Lead and deliver enterprise-grade data engineering solutions using core AWS services (S3, Glue, Lambda, Redshift, Matillion, etc.). • Define architecture, mentor large technical teams, and engage directly with senior client stakeholders. • Own technical responses for RFI/RFP processes, partnering with senior leadership and … engagements. • Strong stakeholder engagement at CxO or Director level. • Deep experience in cloud data lake architectures, ETL/ELT patterns, and metadata/data quality management. • Expertise in Matillion, Redshift, Glue, Lambda, DynamoDB, and data pipeline automation. • Familiarity with data visualisation platforms such as Quicksight, Tableau, or Looker. • Knowledge of CI/CD processes and infrastructure-as-code. • Eligible More ❯

build, and operate batch and real-time data pipelines using AWS services such as AWS EMR, AWS Glue, Glue Catalog, and Kinesis. Additionally, they create data layers on AWS RedShift, Aurora, and DynamoDB. The data engineer also migrates data using AWS DMS and is proficient with various AWS Data Platform components, including S3, RedShift, RedShift Spectrum, AWS More ❯

marketing data. Deliver end-to-end data modelling projects, connecting multiple sources and creating metrics/KPIs . Work primarily with SQL, dbt, and cloud data warehouses (Snowflake, BigQuery, Redshift). Technical Requirements Strong proficiency in SQL with the ability to write complex queries, optimise performance, and manipulate large datasets efficiently. This includes expertise in database management, data extraction … transformation, and analysis, ensuring seamless data workflows for all stakeholders. Working with modern cloud data warehouses such as Snowflake , BigQuery , or Redshift . You should be comfortable creating robust data models, building scalable pipelines, and ensuring data quality within these cloud environments. Experience with dbt (Data Build Tool) , particularly in managing and automating data transformation. Solid understanding of Python More ❯

This role will be instrumental in building a reliable and scalable production environment on top of a growing set of raw data sources. Tech Stack and Environment Data Warehouse: Redshift Modelling: dbt (recently onboarded, still early-stage) ETL & Integration: Fivetran, with plans to scale Architecture: Medallion Ideal Background: Strong SQL skills with hands-on experience in dbt and modern … cloud data warehouses (e.g. Redshift, Snowflake, BigQuery) Familiarity with ELT tools (e.g. Fivetran), BI tools (e.g. Looker, Tableau, Power BI), and Git-based workflows Solid understanding of data modelling, warehousing principles, and analytics best practices Experience working cross-functionally with strong communication skills Nice to have: Python, AWS/GCP/Azure, Medallion Architecture, Databricks, and knowledge of data More ❯

Python coupled with strong SQL skills. In addition, you will also have a strong desire to work with Docker, Kubernetes, Airflow and the AWS data technologies such as Athena, Redshift, EMR and various other tools in the AWS ecosystem. You would be joining a team of 25+ engineers across mobile, web, data and platform. We look for engineers who … you: At least 3 years of relevant data engineering experience Strong Python and SQL skills Experience with dbt Experience with AWS Experience working with a columnar database such as Redshift Strong Experience with ETL/ELT and the management of data pipelines Familiarity with snowplow Experience with Data Integration from a variety of sources Good cross-team communication skills More ❯

data pipelines. These pipelines ingest and transform data from diverse sources (e.g., email, CSV, ODBC/JDBC, JSON, XML, Excel, Avro, Parquet) using AWS technologies such as S3, Athena, Redshift, Glue, and programming languages like Python and Java (Docker/Spring) . What You’ll Do Lead the design and development of scalable data pipelines and ETL processes Collaborate … UK for at least 5 years. What We’re Looking for Proven experience leading data engineering teams and delivering technical solutions Strong background in cloud data platforms, especially AWS (Redshift, Athena, EC2, IAM, Lambda, CloudWatch) Proficiency in automation tools and languages (e.g., GitHub/GitLab, Python, Java). Skilled in stakeholder engagement and translating requirements into actionable insights. Ability More ❯

s in Computer Science or related field; 2-3 years in data engineering. Technical Skills : Strong SQL & Python, experience with Airflow, DBT, cloud platforms (AWS), and warehousing tools (Snowflake, Redshift, BigQuery). Bonus : Familiarity with APIs, Docker, and automation tools. Soft Skills : Team player, proactive, strong communicator, and problem solver. Details: On site - Barcelona Salary 50k - 60k depending on More ❯

/ML). Tool selection, cost management, and team leadership. Experience required: Building and scaling BI and Data Architecture. Expertise in modern BI and Data platforms like Snowflake, BigQuery, Redshift, Power BI. Background in ETL/ELT tools and Data Pipelines such as DBT, Fivetran, Airflow. Experience with Cloud solutions (Azure, AWS, Google). #J-18808-Ljbffr More ❯

Leading and mentoring practice teams. Skills & Experience Required: 13-18 years of overall Data and Analytics experience. At least 10+ years in AWS data platform including AWS S3, Glue, Redshift, Athena, Sagemaker, Quicksight, and MLOPS. Expertise in Snowflake DWH architecture, Snowpipe, Data Sharing, Polaris catalog, and data governance. Knowledge of additional technologies such as Python, Streamlit, Matillion, DBT, Atlan More ❯