51 to 75 of 281 Amazon Redshift Jobs

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 ❯

significant exposure to large-scale data architectures and cloud-based solutions. Has the following technical skills: Expert-level proficiency in SQL (e.g., MySQL, PostgreSQL, Redshift) and NoSQL databases (e.g., MongoDB, Cassandra). Proficiency in one or more programming languages (e.g., Python, Scala, Java) for data integration, automation, and problem 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 ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in More ❯

services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in 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 ❯

recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory More ❯

or certification on Python programming concepts and 3+ years applied experience. Extensive development experience using SQL. Hands-on experience with MPP databases such as Redshift, BigQuery, or Snowflake, and modern transformation/query engines like Spark, Flink, Trino. Familiarity with workflow management tools (e.g., Airflow) and/or dbt More ❯

Engineer. Strong skills in DBT and SQL – you’ll be using these every day! Hands-on experience with cloud data warehouses like Snowflake, GCP, Redshift, or BigQuery. Nice-to-Haves: Familiarity with CI/CD pipelines – if you’ve set up automated deployments, even better. Understanding of attribution models More ❯

Experience with scripting languages like Python or R for data manipulation and analysis. (Preferred) Experience with cloud-based data warehousing solutions like Snowflake or Amazon Redshift. PERFORMANCE MEASURES: Successful development and maintenance of robust data pipelines. High data quality and accuracy. Effective management of the data integration platforms (e.g. More ❯

language (Python, R, ect.) Demonstrated positive collaboration skills with key stakeholders and system users to deliver robust systems and compelling results Experience with AWS (Redshift, S3, Glue, Managed Airflow) Snowflake, Tableau Experience with SaaS application data sets (Netsuite, Salesforce, Workday, Coupa) Life sciences/BioTech sector experience in a 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 ❯

HTML, CSS, Bootstrap/Reactstrap, and JavaScript frameworks like React. Experience with data warehousing and cloud environments like AWS or Google Cloud (e.g., BigQuery, Redshift). Experience working on large-scale data systems or enterprise-level tools. Employees of Agile Defense are our number one priority, and the importance More ❯

understanding of SQL and NoSQL databases. Proficiency in writing complex queries and applying database optimization techniques. Data Warehousing: Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Microsoft Azure SQL Data Warehouse. Soft Skills: Strong communication and collaboration skills. Excellent problem-solving skills. US Citizenship is More ❯

SQL & Python Commercial experience using AWS Further knowledge of AWS skills including some of the following S3, EC2, RDS, Cognito, Cloudwatch, EFS, Aurora, Athena, RedShift What's in it for you: 📍Location: Somerset (2/3 days a week onsite) ⭐Annual discretionary bonus of up to 20% 💰Salary More ❯

scalable AWS data solutions while mentoring junior engineers. Key Responsibilities: Lead the development and implementation of AWS data components, including Firehose, Glue, Lambda, Athena, Redshift, and Quicksight. Support junior engineers through technical guidance, mentoring, and task leadership. Collaborate with cloud architects to evolve our MVP data platform toward a More ❯

scalable AWS data solutions while mentoring junior engineers. Key Responsibilities: Lead the development and implementation of AWS data components, including Firehose, Glue, Lambda, Athena, Redshift, and Quicksight. Support junior engineers through technical guidance, mentoring, and task leadership. Collaborate with cloud architects to evolve our MVP data platform toward a More ❯

and BDM, AutoSys, Airflow, and SQL Server Agent. Experience with cloud platforms preferably AWS. Strong knowledge of AWS cloud services, including EMR, RDS Postgres, Redshift Athena, S3, and IAM. Solid understanding of data warehousing principles and best practices. Strong proficiency in SQL for data manipulation, reporting, and optimization. Knowledge More ❯

understanding Test driven development experience Cloud and modern development experience Experience building micro-views/mini-apps would be welcome AWS experience (E.g. S3, Redshift, Glue, Lambda) nice to have, willingness to learn - essential Bachelor's degree in computer science or related subject AWS certifications are a plus Prior More ❯

this role if you have the following skills: Proficient in higher-level languages (Go, Kotlin, Java, Rust) and AWS Services (CloudWatch, IAM, EC2, S3, Redshift) Previous experience in software development and building event-driven architecture systems AWS Certified Solutions Architect or Developer with knowledge in DevSecOps tools (Maven, Jenkins More ❯

identify future opportunities for leveraging AWS services and implement effective metrics and monitoring processes. Your Skills and Experience Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR), Java, Scala, Python, Spark. Experience of developing enterprise grade ETL/ELT data pipelines and demonstrable knowledge of applying Data Engineering best More ❯

predictive analytics in GIS applications. Experience evaluating and implementing new and emerging GIS-related technologies. Familiarity with cloud-based big data analytics platforms (AWS Redshift, Snowflake, or Google BigQuery). Familiarity with AWS GovCloud and cloud-based GIS architectures. ESRI ArcGIS Enterprise Administration Professional Certification. Active IAT II Certification More ❯

experience in designing and implementing scalable and efficient data management platforms for bioinformatics data. Demonstrated expertise with AWS services such as S3, EC2, RDS, RedShift, Athena. Expert knowledge of bioinformatics data, including omics data types and formats. Proficiency in programming languages such as Python, Java, or R, and extensive More ❯