1 to 25 of 47 Permanent Amazon Redshift Jobs with Remote Work Options

solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team more »

and improve existing data designs and data models, including relational table structures, using Unix Shell Scripting, Oracle, SQL Server, Azure SQL Data Warehouse, or Amazon Redshift Support and learn the associated scheduling logic for data pipelines using scheduling tool such as Autosys or Airflow Read and translate logical more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

Engineer will have: Experience leading a Data Engineering team. Extensive working experience with GCP, SQL and DBT. Proficient in: Kafka, Dataform, Airflow, Tableau, PowerBI, Redshift, Snowflake, Terraform and BigQuery. What's in it for the successful Lead Data Engineer: Hybrid working for a better work/life balance. Joining more »

forward. THE ROLE Work closely with the product team, and influence the product roadmap through insight recommendations Querying datasets from BigQuery and/or Redshift to understand how users are interacting with products Day-to-day product analytics, measurement, and reporting Setting up and running A/B tests more »

forward. THE ROLE Work closely with the product team, and influence the product roadmap through insight recommendations Querying datasets from BigQuery and/or Redshift to understand how users are interacting with products Day-to-day product analytics, measurement, and reporting Setting up and running A/B tests more »

engineers, who are redesigning Creditsafe data platform with high throughput and scalability as primary goal. The data delivery platform is being built upon AWS redshift and S3 cloud storage. The platform expected to manage over billion objects along with daily increment of more than 10 million objects while handling … Creditsafe platform into the cloud space. You will be expected to work with technologies such as Python, Linux, Airflow, AWS DynamoDB, S3, Glue, Athena, Redshift, lambda, API Gateway, Terraform, CI/CD. KEY DUTIES AND RESPONSIBILITIES You will actively contribute to the codebase and participate in peer reviews. Design … and build metadata driven, event based distributed data processing platform using technologies such as Python, Airflow, Redshift, DynamoDB, AWS Glue, S3. As an experienced Engineer, you will play a critical role in the design, development, and deployment of our business-critical system. You will be building and scaling Creditsafe more »

and engineering IDEAL CANDIDATE Minimum 3 years of experience in data operations, reporting, or a related business intelligence practice Experience of working with AWS Redshift and S3 essential, with the role being hands on Clear communicator in English: verbal and written. At ease working to fast turnaround times Strong … investigative nature Highly organized and able to manage their own time to meet deadlines across multiple work streams. Strong hands-on experience with AWS Redshift & SQL essential Practical experience GCP preferable Practical experience with one or more of Tableau, Power BI, MCI (Datorama), Alteryx beneficial but not essential for more »

pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more. Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management. Valuable contributions to open-source projects, reflecting your commitment more »

Strong proficiency with Python and SQL Extensive Machine Learning experience: recommendation, forecasting, predictive performance analysis & optimisation Experience with Snowflake, DataIQ or Databricks AWS experience – Redshift & Fast API NLP & Computer Vision experience Previous experience working with Marketing Ecosystems Hybrid working with offices in Central London - 3x a week in the more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient more »

increasingly complex world of interconnected platforms, the Data Manager will ensure that the data stack - built around the Segment customer data platform and our Amazon Redshift data warehouse - is delivering for our analysts, marketers, product specialists and leadership team. This will involve optimisation and governance on how new … product owner for data privacy and data engineering projects, driving the data roadmap including initiatives around tracking, privacy, CRM, and BI. Responsibilities: Manage the Redshift data warehouse, ensuring all analytics use-cases are catered for Developing and maintaining a robust tracking plan Configuring new integrations and optimising existing integrations more »

Requirements Demonstrable experience as a software or data engineer, demonstrating a good understanding of data architecture and engineering principles. Proficiency with Kafka, AWS, and Redshift Strong coding skills with either Python or SQL, showcasing the ability to manipulate and analyse data. Proven expertise in implementing testing strategies to ensure more »

be used across Live Support systems wherever required: Technologies – Role is Grafana Dashboard focused. Denodo/Talend/PDI/Git/MySQL/Redshift/Grafana Dashboard creation/consolidation Gathering requirements, understanding the service and delivery alerts to suit Skills must have: FTE ideally should have experience more »

do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python … Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of more »

do and bring: Proficiency in AWS services relevant to data engineering such as S3, Glue, EMR, Athena, and Lambda. Hands-on experience with Snowflake, Redshift cloud data warehousing solutions. Familiarity with DBT (Data Build Tool) for managing transformations in the data pipeline. Strong programming skills in technologies like Python … Scala, Spark, PySpark or Ab Initio, Glue, Starburst, Snowflake, Redshift, Starburst, Hybrid(on-prem to cloud) for building data pipelines and ETL processes. Experience with data pipeline orchestration tools like Apache Airflow . Knowledge of SQL and ability to write complex queries for data transformation and analysis. Understanding of more »

compiling it into a digestible and actionable format • Participate in strategic & tactical planning discussions BASIC QUALIFICATIONS • 5+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modelling, warehousing and building ETL pipelines • Experience … or data warehouse and scripting experience (Python) to process data for modelling 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 more »

for a DBA expert at a growing financial technology firm! You’ll also be important in the drive towards more Cloud, AWS Aurora and RedShift usage and the build out of these technologies. Requirements: Strong knowledge of SQL Server admin and engineering Proven all-round database skills Good cloud … experience with AWS Knowledge of RedShift and/or Aurora is highly beneficial Experience of live transactional systems and/or live consumer products is ideal Solid knowledge of database security more »

a growing FinTech! You’ll also be key in the drive towards more AWS and Cloud usage and the build out of Aurora and RedShift databases. Requirements: Strong knowledge of SQL Server gained over a number of years. Proven database administration and engineering skills Experience of live transactional systems … and/or live consumer products is ideal Good cloud experience with AWS Knowledge of RedShift and/or Aurora is highly beneficial Solid knowledge of database security more »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

Data Engineer; Adeptness in utilising AWS and Azure data and analytics services (or their open-source equivalents), including but not limited to EMR, Glue, RedShift, Kinesis, Lambda, Data Factory, and Databricks. Strong experience in data engineering, data science, and product development, encompassing experience in both stream and batch processing. more »

pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and data warehouse solutions utilising technologies such as BigQuery, Azure Synapse, Redshift, Oracle, Teradata, and more. Familiarity with Agile methodologies, particularly Scrum, to support dynamic project management. Valuable contributions to open-source projects, reflecting your commitment more »