26 to 50 of 165 Remote Amazon Redshift Jobs

four years of experience in data engineering, preferably in financial services or similar regulated industries.//Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud.//Proficient programming skills in Python./ More ❯

four years of experience in data engineering, preferably in financial services or similar regulated industries.//Proven experience with AWS services (e.g. S3, Redshift, Lambda, ECS, Eventbridge, CloudWatch, Athena etc.) for building and maintaining scalable data solutions in the cloud.//Proficient programming skills in Python./ More ❯

Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

Terraform is a plus). Experience with Airflow or similar orchestration tools. Familiarity with MLflow or MLOps practices. Knowledge of data warehousing solutions (Snowflake, Redshift, BigQuery). Consulting background is a plus. Strong communication skills (oral & written) Rights to work in the UK is must (No Sponsorship available) Responsibilities More ❯

and working within fixed budgets. Solid understanding of data security, GDPR, access control, and encryption best practices. Nice-to-Have Skills Exposure to AWS Redshift, Glue, or Snowflake. Familiarity with BigQuery and Google Analytics APIs. Proficiency in Python, PySpark, or dbt for data transformations. Background in insurance, especially in More ❯

design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end More ❯

design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end More ❯

not? We’ll help you get there: Understanding of cloud computing security concepts Experience in relational cloud-based database technologies like Snowflake, BigQuery or Redshift Experience in open-source technologies like Spark, Kafka, Beam understanding of Cloud tools such as AWS, Microsoft Azure or Google Cloud Familiarity with DBT 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 ❯

biotech or pharma . Familiarity with FinOps , tagging strategies, and cost optimization in AWS. Exposure to data platforms on AWS (e.g., Lake Formation, Glue, Redshift). Knowledge of ServiceNow, HashiCorp Vault, or Splunk in cloud ecosystems. What you can expect of us As we work to develop treatments that More ❯

s getting involved in one of our community projects or simply buying local when travelling with the company. Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or … Oracle. Experience with big data technologies such as Hadoop, Spark, or Hive. Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow. Proficiency in at least one programming language such as Python, Java, or Scala. Strong analytical and problem-solving skills with More ❯

processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with More ❯

processes and database management systems (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with AWS services for data processing, storage and analysis (e.g., S3, Redshift, EMR, Glue). Familiarity with programming languages such as Python or Java. Understanding of data warehousing concepts and data modeling techniques. Experience working with More ❯

within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of More ❯

within a commercial environment creating production grade ETL and ELT pipelines in python Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery Hands on experience with data orchestrators such as Airflow Knowledge of Agile development methodologies Awareness of cloud technology particularly AWS. Knowledge of More ❯

cloud data warehouses, with a proven track record of designing and implementing complex, performant data models in enterprise-grade cloud environments (e.g., BigQuery, Snowflake, Redshift), consistently optimising for scale and cost-efficiency. Demonstrate mastery of SQL and dbt, exhibiting expertise in advanced SQL techniques and extensive experience in developing More ❯

and version designated in theTask Order• Excellent communication skills Preferred Skills:• Experience with cloud-based Data Warehouse platforms and solutions (e.g., Oracle FDIP, Snowflake, Amazon Redshift, Google BigQuery).• Relevant certifications in data management or ETL tools are a plus Experience with one or more of the following More ❯

such as Python, Java, Scala, Spark, and SQL to extract, clean, transform, and integrate data. Build scalable solutions using AWS services like EMR, Glue, Redshift, Kinesis, Lambda, and DynamoDB. Process large volumes of structured and unstructured data, integrating multiple sources to create efficient data pipelines. Collaborate with engineering teams More ❯

Engineering, or BI Engineering Understanding of data warehousing, data modeling, and structuring data tables Knowledge of cloud-based MPP data warehouses (e.g., Snowflake, BigQuery, Redshift) Nice to Have Experience developing in BI tools like Looker or similar Practical understanding of version control systems SQL ETL/ELT expertise and More ❯

AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem solver who can balance technical excellence with business needs At Funding Circle we are committed to building diverse teams so More ❯

technical teams Infrastructure: Azure, AWS environment including Lambda, Glue, Cloud Formation, API Gateway Familiarity with data pipelines regardless of the technology and with SQL (RedShift in particular is a plus) Able to communicate with functional/business owners and with technical teams Able to distill complexities into a succinct More ❯

Proficiency in programming/scripting languages such as Python, Java, Node.js, Bash, and PowerShell. Strong knowledge of database technologies (e.g., PostgreSQL, MongoDB, DynamoDB, Oracle, Redshift). Experience with DevOps tools (Jenkins, Docker, Nexus/Artifactory) and build tools (Maven, Gradle). Familiarity with AI/ML integrations, event-driven More ❯

up environments. Requirements: 8+ years' experience in architecting, developing, scaling and monitoring complex data pipelines Expert in cloud data platforms e.g. Snowflake, Databricks, BigQuery, Redshift Expert in SQL and Python Strong understanding of data development best practices Strong understanding of design patterns and architectural best practices More ❯