451 to 475 of 676 Snowflake Jobs

helping to establish best practices for analytics engineering and data operations. Support the adoption of modern data stack tools (e.g., dbt, Airbyte/Fivetran, Snowflake/BigQuery, Looker/Metabase). What We're Looking For 3-4 years of hands-on experience in a data-related role (e.g., Analytics … Proficiency in SQL and Python and experience building and maintaining data models using tools like dbt . Experience with cloud data warehouses (e.g., BigQuery, Snowflake, Azure Synapse Analytics). Familiarity with ELT tools such as Airflow, Fivetran, or Stitch. Solid understanding of data visualization best practices and experience with tools More ❯

You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You … ability to write complex queries, optimise query performance, and design efficient database schemas Familiarity with one or more data platform technologies such as Databricks, Snowflake, and/or Microsoft Fabric. More ❯

You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You … ability to write complex queries, optimise query performance, and design efficient database schemas Familiarity with one or more data platform technologies such as Databricks, Snowflake, and/or Microsoft Fabric. More ❯

based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or … Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts; experience gathering … algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve More ❯

domains. We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others. IF YOU ARE A technology professional focused on Data Warehouses, ETL, and BI solutions development Experienced in eliciting business requirements to address … in designing dashboards and workbooks Used to modify SQL queries to improve performance Showing extra advantage in database technologies used for analytics: SQL Server, Snowflake, Azure Synapse, Oracle, and Teradata Experienced in ELT orchestration tools: Azure Data Factory, SSIS, Apache Airflow, Informatica, and Talend (nice-to-have) Native-level or More ❯

based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS •Educational Background: Bachelor's or … Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively communicate technical concepts; experience gathering … algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a plus. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve More ❯

WebApp and Networking. Conceptual understanding of Azure AI Services, ML, Unity Catalog, and data catalog technologies such as Purview. Strong proficiency in Azure or Snowflake or AWS or GCP is required. Data Engineering: Advanced proficiency in SQL, Python, and at least one additional programming language (Java, C#, C++) is desired. … with business segments (MW Snacking, Petcare, Royal Canin) to identify data platform requirements and develop tailored solutions working with vendors such as Microsoft, Databricks, Snowflake etc., Develop and implement strategies for activating new platforms, frameworks, and technologies within the MARS, deploy to segments and corporate teams within MGS. Ensure seamless More ❯

security, and governance of analytics data assets, ensuring compliance with regulatory and internal standards. Optimize performance and cost-efficiency across cloud data warehouses like Snowflake, BigQuery, Databricks, or Redshift. Establish technical standards, processes, and frameworks for analytics engineering excellence. What We Seek Bachelor's Degree required; Advanced Degree preferred 10+ … e.g., Looker, Tableau, Mode) and their data modeling layers. Experience in Airflow, Dagster, or similar orchestration tools Experience in cloud data platforms such as Snowflake, BigQuery, and/or Databricks Expertise in Git-based version control and CI/CD processes for data assets Experience overseeing large-scale data initiatives More ❯

You can expect to get involved in a variety of projects in the cloud (AWS, Azure, GCP), while also gaining opportunities to work with Snowflake, Databricks, BigQuery, and Fabric. We work with near real-time/streaming data, geospatial data and using modern AI-tooling to accelerate development. About You … ability to write complex queries, optimise query performance, and design efficient database schemas Familiarity with one or more data platform technologies such as Databricks, Snowflake, and/or Microsoft Fabric At BJSS, the rewards aren't based on your time served, they're based on merit and the strength of More ❯

Languages You Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, 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 … developing ETL/ELT pipelines for data integration and transformation. Cloud Navigator : Confidently guiding projects through the AWS ecosystem and hands-on experience with Snowflake or similar cloud-based data warehouse platforms. Dynamic Collaborator : Adept Problem-Solver with keen attention to detail. Excellent problem-solving skills, attention to detail, and More ❯

integration with existing data and analytics platforms and tools. You will drive solution design, effort estimation, technical architecture and direction for the AWS/Snowflake Data Engineering and analytics practice. Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management … technologies to present to customer. Here is how you will contribute: Data Engineering & Analytics Lead at Zensar takes up end to end ownerships of Snowflake Data & Analytics solution design and practice development: You will do this by: Responding to client RFI, RFP documents with deep and excellent technical solution design … with Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs). Knowledge of at least one of the following More ❯

Data Engineer - Salisbury - £55,000-£65,000 - Hybrid My client is looking for a highly skilled Data Engineer to join our growing data team. This role is ideal for someone with strong experience in Azure data services and a passion More ❯

Client name: Job title: Snowflake DBA Will the role be 100% remote, hybrid or 100% office? Hybrid If the role is hybrid/office based specify location: Norwich, UK Duration of assignment: 6 Months Start date: 10-May Number of persons required: 1 Special working conditions:( travel, weekend, overtime, on … role will have, including overview of customer industry and projects, access to cutting-edge technology etc.) Manage and administer Snowflakes accounts. Manage and Administer Snowflake data security and governance. Key responsibilities: (Up to 10, Avoid repetition) Manage and maintain database objects. Manage and maintain virtual warehouses. Perform database monitoring and … tuning. Fluency with ANSI and Snowflake extended SQL Perform data sharing and use the Data Exchange and Snowflake Marketplace Administer disaster recovery, back-up, and data replication. Must have performed Database administration with one of the DBs like SQL Server, Exadata, Teradata etc.. Key skills/knowledge/experience: (Up More ❯

Client name: Job title: Snowflake DBA Will the role be 100% remote, hybrid or 100% office? Hybrid If the role is hybrid/office based specify location: Norwich, UK Duration of assignment: 6 Months Start date: 10-May Number of persons required: 1 Special working conditions:( travel, weekend, overtime, on … role will have, including overview of customer industry and projects, access to cutting-edge technology etc.) Manage and administer Snowflakes accounts. Manage and Administer Snowflake data security and governance. Key responsibilities: (Up to 10, Avoid repetition) Manage and maintain database objects. Manage and maintain virtual warehouses. Perform database monitoring and … tuning. Fluency with ANSI and Snowflake extended SQL Perform data sharing and use the Data Exchange and Snowflake Marketplace Administer disaster recovery, back-up, and data replication. Must have performed Database administration with one of the DBs like SQL Server, Exadata, Teradata etc.. Key skills/knowledge/experience: (Up More ❯

role where the successful applicant will be building pipelines but also being heavily involved in designing architectures for an array of projects where greenfield snowflake implementations will be taking place. This is a salaried position and depending on experience, it can pay up to £100k with some comprehensive benefits. This … happy employee means higher productivity! So they offer very flexible working arrangements through both WFH options and flexi working hours. Experience required... Expert in Snowflake Strong DBT experience Strong Airflow experience Expert knowledge and understanding of Data Warehousing Strong AWS experience More ❯

role where the successful applicant will be building pipelines but also being heavily involved in designing architectures for an array of projects where greenfield snowflake implementations will be taking place. This is a salaried position and depending on experience, it can pay up to £100k with some comprehensive benefits. This … happy employee means higher productivity! So they offer very flexible working arrangements through both WFH options and flexi working hours. Experience required... Expert in Snowflake Strong DBT experience Strong Airflow experience Expert knowledge and understanding of Data Warehousing Strong AWS experience More ❯

to join their team. They only recruit the "best" talent and have a diverse workforce. Key Responsibilities: Design, build, and manage data pipelines in Snowflake, ensuring seamless data flow from diverse sources into the data platform. Collaborate with business stakeholders and data analysts to gather data requirements and deliver effective … solutions. Integrate structured and unstructured data sources into Snowflake, optimising data models for analytics and reporting. Support data analysts by optimising semantic models and ensuring data readiness for Snowflake-based reporting and analytics. Implement and enforce data governance policies, maintaining data security and compliance within the Snowflake environment. Monitor system … performance and ensure data platforms are scalable, reliable, and efficient. Requirements: Demonstrated experience in Snowflake, including developing and managing data pipelines and data models. Strong knowledge of cloud-based data integration, transformation, and storage. Hands-on experience working with both structured and unstructured data in Snowflake. Familiarity with data governance More ❯

improvements for data processing capabilities. Write and optimize SQL queries to ensure data integrity, performance, and scalability. Implement a flexible Data Vault model in Snowflake to support large-scale analytics and BI. Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver data-driven solutions. Engage with stakeholders to … solutions. Implement and enforce data governance and quality processes across systems. Support cloud platforms such as AWS/Azure and tools like DBT with Snowflake for scalable data solutions. Continuously seek improvements in data systems, processes, and tools for efficiency and scalability. Key Skills/Experience: Solid understanding of ETL …/ELT processes with hands-on experience using DBT, Snowflake, Python, SQL, Terraform, and Airflow. Experience designing and implementing cloud-based data products and solutions. Proficiency with cloud data warehouses and analytics platforms such as Snowflake, AWS, and Azure. Experience with GitHub for version control and project management. Knowledge of More ❯

at the early stages of its evolution, where you’ll have real ownership, shape foundational data assets, and work with cutting-edge technologies like Snowflake, DBT, Microsoft Azure, and Power BI and next-gen BI platforms. Responsibilities Data Modelling & Transformation Design and maintain clean, modular data models in Snowflake, applying … or advanced BI/data roles with a strong focus on data modelling and transformation Proficiency in SQL and cloud data platforms such as Snowflake or Azure Synapse Analytics Hands-on experience with DBT for developing, testing, and documenting transformations Understanding of modern data stack principles, including layered modelling, modular More ❯

. Develop custom security applications, APIs, AI/ML models, and advanced analytic technologies. Experience with threat detection in Azure Sentinel, Databricks, MPP Databases (Snowflake), or Splunk. Expertise in network, endpoint, and cloud security, cryptography, malware analysis, vulnerability assessment, anomaly/intrusion detection, incident response, and offensive security. Proficiency in … AI/ML security and automation. Experience with data science and analytics in Databricks, Synapse Analytics, and large-scale data warehouses (Snowflake, Redshift, Presto). Proficiency in data visualization tools (Databricks, PowerBI) and the Python data science ecosystem (Jupyter, Pandas, Numpy, Matplotlib). Plusses: Financial services background Degree in cybersecurity More ❯

Our Team The Data team is a cross-functional team of experienced and passionate data enthusiasts. We use and own modern data tools (Fivetran, Snowflake, dbt, Looker) and cover a diverse range of data problems and stakeholders. What we're offering you: Flexible hours and summer hours Competitive holiday benefits … from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance … Strong understanding of mathematical background, focusing on statistics and linear algebra Highly proficient in Python (Pandas, Scikit-Learn, PyTorch, PySpark) and SQL Experience with Snowflake (function & procedure) and Snowpark is a plus Experience with unit and integration tests Strong understanding of machine learning algorithms and best practices Vision for MLOps More ❯

team to design and build data feeds and related applications Working with business users to design and configure self-serve data environments within our snowflake data lake, or on our AWS Native data science platform. Analysing, developing, delivering, and managing BI reports Assisting in the design of the data processes … work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum criteria Significant database experience in Snowflake or Oracle Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Excellent SQL skills Good knowledge of More ❯

work across and support multiple analytics projects. To operate within these technically focused teams you will have the following: An expert in testing Oracle, Snowflake and Postgres databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse … data and to validate business rules/requirements. Skilled in using querying tools such as SQL Developer and PostgreSQL/DBeaver. Proficient in using Snowflake for data lake testing. Experience of working with and using ETL tools such as ODI. Proficient with reporting tools such as Power BI and OAS. More ❯

work across and support multiple analytics projects. To operate within these technically focused teams you will have the following: - An expert in testing Oracle, Snowflake and Postgres databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse … data and to validate business rules/requirements. Skilled in using querying tools such as SQL Developer and PostgreSQL/DBeaver Proficient in using Snowflake for data lake testing Experience of working with and using ETL tools such as ODI Proficient with reporting tools such as Power BI and OAS More ❯

work across and support multiple analytics projects. To operate within these technically focused teams you will have the following: - An expert in testing Oracle, Snowflake and Postgres databases and data warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse … data and to validate business rules/requirements. Skilled in using querying tools such as SQL Developer and PostgreSQL/DBeaver Proficient in using Snowflake for data lake testing Experience of working with and using ETL tools such as ODI Proficient with reporting tools such as Power BI and OAS More ❯