51 to 75 of 247 Amazon Redshift Jobs

server) Data Integration Tools: Knowledge of platforms like Airflow, Apache NiFi, or Talend. Data Storage and Modelling: Experience with data warehousing tools (e.g. Snowflake, Redshift, BigQuery) and schema design. Version Control and CI/CD: Familiarity with Git, Docker, and CI/CD pipelines for deployment. Experience 2+ years ...

user-facing solutions within Foundry. Strong understanding of distributed systems and microservices architecture. Experience with AWS services such as S3, Glue, Athena, Lambda, Redshift, Textract, and AI/ML services. Experience working with modern data technologies, including Snowflake . Knowledge of DevOps practices, CI/CD pipelines, Docker ...

their integration across trading ecosystems. Exposure to multi-cloud environments, particularly GCP or Azure. experience with data platforms and analytics services such as Redshift and Athena. Knowledge of event-driven architectures and messaging technologies such as SNS, SQS, and Kafka. experience with serverless architectures and design patterns on AWS. ...

Software Dev Engineer, Amazon Security Automation Job ID: 10498444 | Amazon UK Services Ltd. At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products … NextGen Security Automation team is looking for a skilled and driven Software Development Engineer (SDE II) to build autonomous security solutions that protect Amazon’s customers. As an SDE II, you will leverage AI/ML technologies to automate detection, analysis, and response across proactive, offensive, and defensive security ...

GenAI/LLM techniques to data and analytics. Enterprise-level experience with at least one large-scale analytical data warehouse or query engine: StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino. Expertise writing, optimizing, and analyzing SQL.Hands-on experience building and operating distributed data platforms on AWS or GCP.Hands ...

backlog management tools Power BI, Tableau, Qlik or Looker Matillion, Talend, Pentaho, SSIS Databricks, DBT, Fivetran Snowflake, Microsoft SQL Server, Oracle DB or Redshift Building CI/CD pipelines and IaC Analytical skills including the ability to apply a range of analytics, visualisation and data science techniques Strong understanding ...

experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). Strong knowledge of data security, compliance, and governance frameworks. Effective communication in English. Preferred Qualifications ...

workloads, leveraging leading cloud technologies (AWS, GCP, Azure).We **ENABLE** hybrid cloud transformation – You will design and implement modern hybrid data architectures (e.g. Snowflake, Redshift, BigQuery) and drive the migration of legacy systems to cloud-native solutions that unlock agility and performance.We **OPTIMISE** and **SECURE** cloud environments – You will ...

initiatives. Qualifications & Experience Proven experience in the market as a SQL and PLSQL developer. Extensive experience with any SQL cloud databases like Snowflake/Redshift/BigQuery/Azure SQL database. Experience with any on-premise SQL database like MS SQL Server, Teradata etc. Clear understanding ...

working with BI tools such as Qlik Sense/Qlik View, Tableau, Power BI, or equivalent is required. Experience working with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena is a plus. Understanding and experience with predictive analytics, statistical modelling, or machine learning ...

Service, Azure AI Foundry, Azure AI Search (vector/RAG), Azure Machine Learning, Azure AI Agent Service, Semantic Kernel, Prompt Flow and Content Safety.AWS: Amazon Bedrock (including Knowledge Bases and Agents), Amazon SageMaker, Amazon Q, Amazon OpenSearch (vector), and Guardrails for Amazon Bedrock.Expertise in agentic … cloud-based platform (AWS or Azure); AI or machine learning specialism desired.Familiarity with modern data and lakehouse ecosystems (e.g. Microsoft Fabric, Databricks, Snowflake, Synapse, Redshift) as a foundation for grounding AI.Soft SkillsStrong leadership and programme management skills, with the confidence and directive to challenge the status quo and align ...

technologies Strong proficiency in Python and SQL Experience with cloud platforms (AWS, GCP, or Azure) Knowledge of data warehousing concepts and tools (Snowflake, BigQuery, Redshift) Experience with ETL tools (Airflow, dbt, or similar) Familiarity with version control (Git) and CI/CD practices What We Offer Competitive salary based ...

pipelines will be built in PySpark • SQL • Knowledge of AWS and components such as S3, Glue, Athena, RDS • Experience with Data Warehouse databases like Redshift/Snowflake/BigQuery • Experience with implementing Rest APIs. • Experience with using and integrating BI tools such as Looker, Qlik, Power BI, Tableau • Modern ...

data platforms. Knowledge of data modelling, replication, and query optimization. Experience with SQL and NoSQL databases. Exposure to data warehousing tools (e.g., Snowflake, Redshift, BigQuery). Data Platform Management Experience in hybrid environments (cloud/on-prem). Skilled in integrating diverse data sources. Understanding of secure data transfer ...

designing and implementing data solutions. Proficiency in programming languages such as Python, Java, or Scala. Strong experience with data warehousing technologies (e.g., Snowflake, Redshift) and proficiency in SQL. Experience of working in an event-driven architecture environment and cloud platforms (e.g, AWS, Azure, GCP). Familiarity with data governance ...

Build Tool) or similar data transformation frameworks is essential. Data Warehousing: Experience working with cloud-based data warehouses such as Snowflake, Google BigQuery, or Amazon Redshift. Data modelling: Solid understanding of data warehousing concepts, ETL/ELT principles, and dimensional modelling techniques. Version Control: Proficiency with Git for collaborative ...

Leads) and driving high-level database modernization strategy. Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform. Mastery of migration migrations scope & progression taking customers from ...

Core Technical Skills Data Warehouse Transformation dbt (data build tool) – modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS – S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas/Collibra/Snowflake Horizon), GDPR, BCBS ...

strong grasp of SQL, data modeling, pipeline design, and tools like dbt, Airflow, Fivetran, and similar Hands-on experience with cloud data warehouses (BigQuery, Redshift, or Snowflake); understanding of performance optimization, partitioning, and data quality patterns Ability to articulate data strategy and complex technical solutions simply to both technical ...

write clean, efficient code across all three, and you understand how it performs at scale. Database management: Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB), with a solid grounding in database fundamentals — indexing, performance, design trade‐offs. Terraform: You have experience in managing infrastructure as code with ...

data engineering experience Hands-on expertise with DBT and PySpark Proven Python development skills Experience with Apache Airflow for orchestration Strong knowledge of Amazon Redshift Experience with Apache Iceberg and modern data lake architectures Familiarity with OpenSearch for search and analytics solutions Exposure to Knowledge Graph technologies ...

solving processes Build and maintain trusting relationships and partnerships with internal and external stakeholders Требования Experience with cloud data warehousing solutions such as Snowflake, Amazon Redshift, or AWS Understanding of data integration processes and tools such as Databricks, DBT, or Glue Ability to design data models aligned with ...

must have a proven track record of designing and implementing production-ready data warehouse solutions. Required Expertise: Expertise in data warehouse technologies (Snowflake, BigQuery, Redshift). Mastery of ETL/ELT tools and processes. Strong knowledge of SQL and data modeling techniques. Experience with cloud platforms ...

implementing: Data Lakes Big Data Analytics platforms Cloud-based solutions experience AWS preferred Software Engineering Expertise with: RDBMS Data Warehousing Data Modelling Experience with: Redshift PostgreSQL NoSQL databases DevOps & Infrastructure Proficiency in: DevOps practices CI/CD pipeline management Infrastructure as Code (IaC) Nice-to-Have Hands-on experience ...

designing end-to-end data systems. Technical proficiency: Solid expertise in SQL and Python, experience with cloud data warehouses (e.g., BigQuery, Snowflake, or Redshift), and data transformation tools (such as dbt). Pipeline mastery: Practical experience building and operating batch or streaming pipelines using orchestration tools like Airflow, Prefect ...