251 to 275 of 748 Remote Snowflake Jobs

appropriate steps are taken to resolve issues and risks. About You Hands-on experience translating business requirements into technical specifications. Experience with Python and SQL mandatory. Experience with Dagster, Snowflake and Tableau desired but not mandatory. Familiarity with managing and/or developing analytics designs that enable complex multi-functional views of data to support critical business decisions. Familiarity with More ❯

projects. Experience working across the software development lifecycle and collaborating with development and architecture teams. Hands-on experience with SQL for data querying, validation, and analysis. Knowledge of Salesforce, Snowflake, cloud platforms (AWS, Azure) is highly desirable. Experience in financial services or asset management is a plus. Comfortable working in cross-functional teams and liaising with a wide range of More ❯

projects. Experience working across the software development lifecycle and collaborating with development and architecture teams. Hands-on experience with SQL for data querying, validation, and analysis. Knowledge of Salesforce, Snowflake, cloud platforms (AWS, Azure) is highly desirable. Experience in financial services or asset management is a plus. Comfortable working in cross-functional teams and liaising with a wide range of More ❯

Proficiency in SQL and data modelling techniques. Strong analytical and problem-solving skills with an ability to work in agile development environment independently. Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar). Ability to work independently and manage multiple projects simultaneously. Excellent communication and collaboration skills. THE BENEFITS As a Data Warehouse Engineer , you will More ❯

Expertise: A solid understanding of data warehousing concepts, ETL/ELT processes, data modeling, and various database technologies (e.g., SQL, and cloud data platforms like AWS Redshift, Google BigQuery, Snowflake). Strong Technical Acumen: The ability to grasp complex technical details and articulate them clearly to non-technical stakeholders. While not a hands-on coding role, a firm understanding of More ❯

warehouse performance Experience across various industry sectors is a plus Understanding of data management best practices, including profiling, sourcing, and cleansing routines with data quality functions Knowledge of Databricks, Snowflake, Azure/AWS/Oracle Cloud, R, and Python Company Description Version 1 has over 28 years in Technology Services, trusted by global brands. We partner with Microsoft, AWS, Oracle More ❯

Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following areas: Cloud Engineering, Data Platform Architecture, DevOps, MLOps/LLMOps. Ideal Profile: Proven More ❯

Role Qualification ·Bachelor's degree in Computer Science, Information Technology, Mathematics, or a related discipline ·Proven experience of SQL and relational databases ·Experience of cloud technologies such as Azure, Snowflake and Terraform is advantageous ·Experience of knowledge of containers such as Docker and Kubernetes is advantageous ·Familiarity with at least one programming language (e.g. Python, Java, or Scala) ·Proven experience More ❯

Role Qualification Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related discipline Proven experience of SQL and relational databases Experience of cloud technologies such as Azure, Snowflake and Terraform is advantageous Experience of knowledge of containers such as Docker and Kubernetes is advantageous Familiarity with at least one programming language (e.g. Python, Java, or Scala) Proven experience More ❯

be at the forefront of their data transformation, designing and delivering data products that empower business teams with self-service analytics capabilities. You'll leverage cutting-edge technologies, including Snowflake, Power BI, Python, and SQL to create scalable, intuitive data solutions that drive business value. Key Responsibilities Build Data Products: Collaborate with business domains to design and develop ETL/ More ❯

performance, stress, and security testing. Experience working in an agile team. Experience working in a highly regulated industry and with highly sensitive data. Exposure to large data solutions like Snowflake, Trino, Synapse, Azure Data Lake, and Databricks. Experience in data science using R, Stata, or Python. Familiarity with Atlassian tools such as JIRA, Confluence, and BitBucket. Understanding of clinical trials More ❯

architecture, enterprise data modeling, or a related field Deep understanding of data architecture frameworks (e.g., TOGAF, DAMA-DMBOK) Experience with cloud-based data platforms (e.g., AWS Redshift, Azure Synapse, Snowflake) Familiarity with Ellucian Banner, Workday, or similar ERP/SIS systems Strong communication and facilitation skills, with the ability to work across technical and non-technical teams To perform this More ❯

of customers modern data platforms. The ideal candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the design and development of scalable data solutions that support our organization's strategic goals. More ❯

Role Qualification Bachelor’s degree in Computer Science, Information Technology, Mathematics, or a related discipline Proven experience of SQL and relational databases Experience of cloud technologies such as Azure, Snowflake and Terraform is advantageous Experience of knowledge of containers such as Docker and Kubernetes is advantageous Familiarity with at least one programming language (e.g. Python, Java, or Scala) Proven experience More ❯

Requirements: Advanced proficiency in Python and modern software engineering practices. Experience architecting solutions using major cloud platforms (Azure, AWS, GCP). Familiarity with technologies such as Databricks, Airflow, dbt, Snowflake, GitHub CI/CD, and infrastructure-as-code. Strong background across at least several of the following areas: Cloud Engineering, Data Platform Architecture, DevOps, MLOps/LLMOps. Ideal Profile: Proven More ❯

along with demonstrated knowledge of modern data engineering processes, concepts and life-cycle Experience using Python for data manipulation and transformation Experience using modern data platforms like Databricks or Snowflake to do the above Experience working with large-scale, event-driven data sets Love gaming and is interested in supporting the game development process Passionate about helping enable teams to More ❯

hypothesis testing - Advanced SQL OR Python. Experience with big data technologies and data platforms - we use BigQuery, Apache Ibis, SQLGlot, DBT. You might have experience with Hadoop, Hive, Redshift, Snowflake, Spark or similar. Experience with Version control/CI/CD - we use Git and GitHub Actions. Fluency with Unix or macOS shells, SSH. Shell and Docker - Data platforms, e.g. More ❯

backend services and React frontends. You'll utilise tools such as Terraform for infrastructure-as-code ( IaC ), AWS (Lambda, EC2, EKS, Step Functions, VPC etc.) for ETL, Airflow pipelines, Snowflake, and ensure architectural alignment with AI/ML initiatives and data-driven services. You will serve as the go-to engineer for: End-to-end data migration architecture ( on-premise More ❯

TensorRT Data Stores & Databases: Relational Databases: PostgreSQL (including managed versions like AWS Aurora, GCP Cloud SQL) NoSQL Databases: DynamoDB Search Databases: OpenSearch Vector Databases: Qdrant Caching: Redis Data Warehousing: Snowflake What we're looking for: 6+ year job history designing, managing, deploying, and supporting Cloud Infrastructure in a production environment using major public cloud providers. (One of AWS or GCP More ❯

of experience using the Datastage tool 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 systems: Maximo, PeopleSoft FSCM, HCM, ELM More ❯

goals. What We're Looking For Must Haves Real-world experience with Google Cloud and modern data stack tools such as dbt, Looker, Fivetran, Google BigQuery and/or Snowflake Great analytical, problem-solving and technical skills, a head for numbers and an attention to detail An excellent grasp of SQL, data modelling, cloud data warehousing and database design Awareness More ❯

visualisation tools such as Tableau, Power BI or other. Experience at using analytics tools such as Alteryx. Experience with Power Automate or Cloud-based platforms (e.g. AWS, GCP, Azure, Snowflake) a plus. Excellent verbal and written communication skills with the ability to explain complex data concepts to non-technical stakeholders. Ability to manage multiple priorities and deliver high quality audit More ❯

data solutions in a consultancy, pre-sales, or technical advisory role. Knowledge and experience of one or more of the following key data technologies; Azure Fabric, SQL Server, Databricks, Snowflake, AWS Amazon Sagemaker, Oracle or equivalents. Proposal & Communication Expertise Strong written and verbal communication skills, with a proven ability to articulate complex concepts to technical and business audiences. Experience of More ❯

Job Description Your Career, Your Danske Bank........You're Danske Bank Your role: Senior Analytics Engineer Data Analytics, Technology & Digital Development Location Donegall Square West, Belfast, Northern Ireland/Hybrid Working Why you'll want to work with us: At Danske More ❯

Data Tester – SQL, Azure, Snowflake, PowerBI, Selenium Up to £500 per day (Inside Ir35) 6 months initial contract London/Hybrid (Must be UK based) I am currently working with a leading Insurance client who is looking for a Data Tester to assist in a data migration from an on-premises to cloud-based solution, utilizing SQL (Stored Procedures), Azure … Snowflake, PowerBI, and Selenium (C#). Key Requirements: Proven experience in Data Testing within Insurance/Financial Services Previous experience on large data migration projects (ETL) Hands-on skills in SQL (Stored Procedures), Azure, Snowflake, PowerBI Automation Testing experience with Selenium (C#) Flexible approach towards hybrid working (including flexibility to travel to other sites if required) Nice to have: Immediate More ❯