251 to 275 of 408 Remote Amazon Redshift Jobs

modern standards with expertise in HTML5, CSS, React, and MVC framework principles 5+ years of cloud computing experience ideally within AWS (EC2, RDS, DynamoDB,Redshift, etc). Expert knowledge of both SQL and NoSQL databases. Proficient in Git. Comfortable branching, merging, pull requests, and resolving merge conflicts. Strong problem More ❯

Lambda for serverless computing in data workflows. Knowledge of AWS Glue Crawler Kinesis RDS for batch/real-time data streaming Familiarity with AWS Redshift for large-scale data warehousing and analytics. Skillful in implementing data lakes using AWS Lake Formation for efficient storage and retrieval of diverse datasets. … AWS DMS (Database Migration Service) for seamless data migration between different databases. Knowledge of AWS Athena for interactive query processing on data stored in Amazon S3. Experience with AWS AppSync for building scalable and secure GraphQL APIs. Qualifications: A minimum of 10 years of experience in data engineering or More ❯

Data Engineer, you'll design and maintain ETL pipelines integrating data from sources like Facebook, Google Analytics, and payment providers. Using tools like AWS Redshift, S3, and Kafka, you'll optimize data models for batch and real-time processing. Collaborating with stakeholders, you'll deliver actionable insights on player … APIs like Facebook, Google Analytics, and payment providers. Develop and optimize data models for batch processing and real-time streaming using tools like AWS Redshift, S3, and Kafka. Lead efforts in acquiring, storing, processing, and provisioning data to meet evolving business requirements. Perform customer behaviour analysis, gaming analytics, and … roles, with a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. More ❯

senior level - Familiarity with marketing platforms and analytics tools (e.g., Supermetrics, GA4, Mode) - Previous experience leading or mentoring analysts - Experience with data warehouses (e.g., Amazon Redshift, BigQuery) - Experience working with CRM tools like Braze - Familiarity with MMM, econometrics, or brand lift studies - Background in a fast-scaling digital More ❯

level - Familiarity with marketing platforms and analytics tools (e.g., Supermetrics, GA4, Mode) - Previous experience leading or mentoring analysts Desirable: - Experience with data warehouses (e.g., Amazon Redshift, BigQuery) - Experience working with CRM tools like Braze - Familiarity with MMM, econometrics, or brand lift studies - Background in a fast-scaling digital More ❯

level - Familiarity with marketing platforms and analytics tools (e.g., Supermetrics, GA4, Mode) - Previous experience leading or mentoring analysts Desirable: - Experience with data warehouses (e.g., Amazon Redshift, BigQuery) - Experience working with CRM tools like Braze - Familiarity with MMM, econometrics, or brand lift studies - Background in a fast-scaling digital More ❯

senior level - Familiarity with marketing platforms and analytics tools (e.g., Supermetrics, GA4, Mode) - Previous experience leading or mentoring analysts - Experience with data warehouses (e.g., Amazon Redshift, BigQuery) - Experience working with CRM tools like Braze - Familiarity with MMM, econometrics, or brand lift studies - Background in a fast-scaling digital More ❯

to work alongside a key public sector client. A Successful Principal Data Engineer will have: Heavy experience in AWS infrastructure. Hands on knowledge of Redshift, Glue & S3. Experience with Matillion. Demonstrable knowledge in ETL & using patterns for cloud data warehouse solutions. Lengthy experience in consulting firms. Experience working with More ❯

to work alongside a key public sector client. A Successful Principal Data Engineer will have: Heavy experience in AWS infrastructure. Hands on knowledge of Redshift, Glue & S3. Experience with Matillion. Demonstrable knowledge in ETL & using patterns for cloud data warehouse solutions. Lengthy experience in consulting firms. Experience working with More ❯

to work alongside a key public sector client. A Successful Principal Data Engineer will have: Heavy experience in AWS infrastructure. Hands on knowledge of Redshift, Glue & S3. Experience with Matillion. Demonstrable knowledge in ETL & using patterns for cloud data warehouse solutions. Lengthy experience in consulting firms. Experience working with More ❯

to work alongside a key public sector client. A Successful Principal Data Engineer will have: Heavy experience in AWS infrastructure. Hands on knowledge of Redshift, Glue & S3. Experience with Matillion. Demonstrable knowledge in ETL & using patterns for cloud data warehouse solutions. Lengthy experience in consulting firms. Experience working with More ❯

to work alongside a key public sector client. A Successful Principal Data Engineer will have: Heavy experience in AWS infrastructure. Hands on knowledge of Redshift, Glue & S3. Experience with Matillion. Demonstrable knowledge in ETL & using patterns for cloud data warehouse solutions. Lengthy experience in consulting firms. Experience working with More ❯

and work with a key public sector client. Successful Principal Data Engineer candidates will have: Extensive experience with AWS infrastructure. Hands-on knowledge of Redshift, Glue, & S3. Experience with Matillion. Proven expertise in ETL and cloud data warehouse design patterns. Significant consulting experience. Experience working with public sector clients. More ❯

process large volumes of data using native AWS services. The main tools you will be using day to day are: ** Python ** SQL ** AWS, Glue ** Redshift You: Our customer is looking for someone who is well versed in the above tools & technologies. They also need someone who understands the principles More ❯

a data analyst Strong analytical and problem-solving skills Experience with SQL, Excel, and/or Python Experience with AWS data related solutions including: Redshift, Glue, Athena, Aurora 2 days WFH/3 days in the office - Central London Office #J-18808-Ljbffr More ❯

ROLE: A remote working Analytics Engineer will need to: Design and build data models Support implementation and maintenance of ELT pipelines Ingest data into Redshift Transform data using DBT YOUR SKILLS AND EXPERIENCE: A successful Analytics Engineer will have the following skills and experience: Ability and experience interacting with More ❯

a reality. You would work as part of a team on a cutting-edge Microservices architecture and using TypeScript/Express/AWS Lambdas, Redshift, MySQL, MongoDB and Micro-frontends built on React. This will allow you to take responsibility for solutions from design to deployment. You will be More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

depth. Your Experience Proven experience as a Data Architect or senior-level Data Consultant in cloud transformation projects. AWS expertise across data services (e.g., Redshift, Glue, Lake Formation, S3, etc.). Strong grasp of data strategy, governance, and architecture best practices in cloud environments. Experience working across business domains More ❯

planning, retros, daily standups, and regular code reviews. Our Tech Stack Frontend: Next JS Chakra Backend Node JS Koa MySQL Other tech we use: Redshift & BigQuery (Data warehouse) Twilio (Telephony) Stripe (Billing) OpenAI What We'll Need From You Demonstrable professional Javascript coding experience & comfortable working with our stack More ❯

programming experience, preferably in a high-level language like Python. And the basics: expertise in SQL and query optimization; familiarity with columnar databases (e.g., Redshift, Clickhouse, BigQuery, or Druid); expertise building data visualizations and dashboards. Compensation $ 178,500 USD annually and stock options. Compensation is identical within professional levels More ❯

the face of many nuanced trade offs and varied opinions. Experience in a range of tools sets comparable with our own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as More ❯