1 to 25 of 113 Remote Amazon Redshift Jobs

that address complex business requirements and drive decision-making. Your skills and experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS, and AWS Step Functions. Programming Skills: Strong experience … and Scala. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both More ❯

for an experienced Senior Data Engineer to start ASAP for a leading Financial Services client in Watford, ideally you come from a similar background. Amazon Redshift and AWS Glue are essential for this role - You must have experience of these in a commerical setting. Hybrid working Salary - Between … Depending on experience Key skills/experience • 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 … with JIRA & Confluence. • Knowledge of SAP Business Objects would be helpful but not necessary - currently in use but in the process of migrating to Redshift & QuickSight. Our clients pride themselves on hiring the best in the industry, in return they offer a salary of somewhere between £80,000 to More ❯

SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS Kingdom : Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3-the building blocks of cloud mastery. Your Philosophy : Continuous integration/deployments, (CI/CD) automation, rigorous code More ❯

AWS, Azure, Google Cloud) and distributed computing principles. Experience with ETL processes and building efficient data pipelines. Familiarity with data warehousing concepts and technologies (Redshift, Snowflake, BigQuery, etc.). Knowledge of containerization technologies (Docker, Kubernetes) is a plus. Experience with version control systems such as Git. Strong problem-solving More ❯

throughput, scalable, resilient and secure data pipelines. Experience with the following AWS technologies: Glue jobs, Athena, S3, Step functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kenesis Firehose. Expert knowledge of SQL. Hands on experience with Kafka. Hands on experience with Terraform. Hands on experience of Python with a More ❯

Experience working with a modern data analytics stack Excellent communication and stakeholder management skills Nice to have Familiarity with the AWS environment (S3, Athena, Redshift) Experience with Python (Airflow, dbt, pySpark, Pandas) Experience with Snowflake Experience with Thoughtspot Familiarity with the command line Some understanding of Kafka Master's More ❯

e.g., Apache Spark, Airflow, dbt). Hands-on experience with cloud-based data solutions (e.g., AWS, GCP, Azure) and data warehouses (e.g., BigQuery, Snowflake, Redshift). In-depth knowledge of SEO metrics, search algorithms, and technical SEO principles. Experience working with APIs from Google Search Console, Google Analytics, SEMrush More ❯

on a daily basis include Lambda, S3, LakeFormation, Glue, Step Functions, Athena, EventBridge, SNS, SQS and DynamoDB. In addition, awareness of QuickSight, RDS, and Redshift may be useful as we’re still actively migrating data from legacy systems. To ensure reliable and rapid releases you would benefit from good … and enjoy coaching/mentoring others to help them grow and develop their skills and progress their careers Desirable Skills & Experience: Enterprise use of Amazon Redshift Skilled in SQL Experience working with DynamoDB, including DynamoDB Streams Awareness of data privacy and other relevant banking regulatory requirements Chetwood Benefits 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 ❯

or in a similar role focused on designing data architectures and systems. Expertise in data modeling, database design, and data warehousing technologies (e.g., Snowflake, Redshift, BigQuery, etc.). Solid understanding of cloud platforms (AWS, Azure, Google Cloud) and cloud-based data storage and processing solutions. Strong proficiency in SQL 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 ❯

in SQL, PL/SQL, and database management systems such as Oracle, SQL Server, MySQL, and PostgreSQL. Experience with data warehousing tools like Snowflake, Redshift, or BigQuery. Analytical Skills : Strong analytical and problem-solving skills, with the ability to analyse complex data requirements and develop effective solutions. Communication Skills 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 ❯

how these can be practically applied. Experience with Python or other scripting languages. Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker). About Our Process We can be flexible with More ❯

and optimise Kafka clusters for real-time data streaming. Oversee and maintain containerized workloads using EKS (Kubernetes on AWS) . Support data infrastructure, including Amazon Redshift for analytics and storage. Implement security best practices and compliance controls within cloud environments. Collaborate with development, security, and operations teams to … such as Sentry and Grafana). Design procedures for system troubleshooting and maintenance. Required Skills & Experience Strong experience with AWS services , particularly EKS, Kafka, Redshift, and CloudWatch . Hands-on experience with Kubernetes and container orchestration. Experience with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or similar 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 ❯

ETL tools and data processing frameworks Proficiency in Microsoft development tools, including Visual Studio, using C# Experience with cloud-based data platforms (AWS Glue, Redshift, etc). Strong knowledge of database systems, data lakes, and data warehouse solutions Preferred Hands-on experience or familiarity with AI/ML techniques More ❯

ETL 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 big More ❯

data challenges in a fast-paced environment. Have a solid understanding of data warehousing concepts and familiarity with cloud platforms like BigQuery, Snowflake, or Redshift . Are proactive in improving data processes, documentation, and analytics best practices. (Bonus) Exposure to Python for data analysis is a plus! Our benefits More ❯

data challenges in a fast-paced environment. Have a solid understanding of data warehousing concepts and familiarity with cloud platforms like BigQuery, Snowflake, or Redshift . Are proactive in improving data processes, documentation, and analytics best practices. (Bonus) Exposure to Python for data analysis is a plus! Our benefits More ❯