226 to 250 of 769 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 ❯

be successful in this role - Solid experience in data engineering, with exposure to multiple platforms and tools - Expertise in platforms like MS Fabric, Azure data tooling, AWS data tooling, Snowflake or Databricks - Strong proficiency in SQL and scripting languages such as Python - Experience with cloud platforms like Azure, AWS, or GCP and their data services - Solid problem-solving and stakeholder 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 ❯

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 ❯

full potential. Liaise with stakeholders to shape clear, actionable data requirements - even when things are complex or incomplete. What You'll Bring Strong hands-on expertise in DBT, SQL, Snowflake , and orchestration tools like Airflow. Experience with Azure Data Factory and visualisation tools such as Power BI. Deep knowledge of agile data development methodologies and best practices. A passion for 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 ❯

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 ❯

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 ❯

/microservices (Docker/Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on generative AI use cases (e.g., embeddings, retrieval 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 ❯

professionals who have a proven track record in leading test automation projects and mentoring junior engineers. This role offers the opportunity to work on complex and innovative projects involving Snowflake, Azure Service Bus, Charles-River, SAP, etc., and to leverage advanced testing frameworks like Playwright, Specflow, and custom in-house Python-based applications within Agile and TDD methodologies. The ideal 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 ❯

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 ❯

is accessible, reliable, and secure. You will learn to use visualisation tools such as Google Looker and PowerBI, Program languages such as Python and SQL, Database technologies such as Snowflake and Postgres, and Cloud Technologies such as AWS. APPRENTICESHIP: The Data Analyst Level 4 apprenticeship programme is a 15 month, plus a 3month end-point assessment. During this apprenticeship you 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 Platform Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | 6 Months Rolling | Up to £800 p/day | Inside IR35| Hybrid – London A Data Platform Engineer is needed to join a growing Commodities Trading company at the forefront of the global Oil & Gas markets – as they're looking to heavily invest in the Enterprise Data Platform to support smarter and … and maintaining the core data infrastructure that powers analytics, trading, and operational insights across the business. As a Data Platform Engineer , you’ll be working with tech such as: Snowflake , Dagster , Terraform, & AWS and will play a key role in shaping the future of the firm’s data ecosystem. 📍 This Data Platform Engineer role is a 6-month rolling contract … Rate on this Data Platform Engineer role is paying up to £800 per day, Inside IR35 🚂 Hybrid working: 3 days a week from Central London 🧑‍💻 Python, Snowflake, Dagster, Kafka, Terraform, and AWS Key Responsibilities: Design, build, and maintain enterprise-grade data platforms and ETL pipelines using Dagster and Python . Lead the adoption and integration of Snowflake as the firm More ❯

Data Platform Engineer | Energy Trading | Python, Snowflake, Dagster, & AWS | 6 Months Rolling | Up to £800 p/day | Inside IR35| Hybrid – London A Data Platform Engineer is needed to join a growing Commodities Trading company at the forefront of the global Oil & Gas markets – as they're looking to heavily invest in the Enterprise Data Platform to support smarter and … and maintaining the core data infrastructure that powers analytics, trading, and operational insights across the business. As a Data Platform Engineer , you’ll be working with tech such as: Snowflake , Dagster , Terraform, & AWS and will play a key role in shaping the future of the firm’s data ecosystem. 📍 This Data Platform Engineer role is a 6-month rolling contract … Rate on this Data Platform Engineer role is paying up to £800 per day, Inside IR35 🚂 Hybrid working: 3 days a week from Central London 🧑‍💻 Python, Snowflake, Dagster, Kafka, Terraform, and AWS Key Responsibilities: Design, build, and maintain enterprise-grade data platforms and ETL pipelines using Dagster and Python . Lead the adoption and integration of Snowflake as the firm More ❯

We are seeking a Senior Snowflake Developer. The ideal candidate will be responsible for designing, developing, testing, deploying, and maintaining enterprise-level applications using the Snowflake platform. Location: Hybrid Sacramento, CA (3 days in office) Visa Status: USC/GC/GC-EAD/H4-EAD accepted W2 only (No visa sponsorship available) No 3rd party or C2C candidates Responsibilities … test, and implement enterprise-level apps with Snowflake. Data warehousing concepts, data modeling, metadata management Mandatory Qualifications: 10 years of experience in database development 5 years of experience in Snowflake development and administration Bachelors degree or 7 yrs hands-on experience Preferred Qualifications: Knowledge of SQL language and cloud-based technologies Profound knowledge and hands-on experience in Snowflake Platform … Architecture. Proficient in SQL for data validation and querying, with experience in Snow SQL scripts. Excellent understanding of Snowflake Internals, Stages, and Integrations in Snowflake. Extensive experience in T-SQL stored procedures and complex query development. Experience in SQL query performance tuning, including proficiency with Query Profiler, Micro-partition pruning, Data spilling and understanding of optimizer and execution plans. Experience More ❯

We are seeking a Senior Snowflake Developer. The ideal candidate will be responsible for designing, developing, testing, deploying, and maintaining enterprise-level applications using the Snowflake platform. Location: Hybrid Sacramento, CA (3 days in office) Visa Status: USC/GC/GC-EAD/H4-EAD accepted W2 only (No visa sponsorship available) No 3rd party or C2C candidates Responsibilities … test, and implement enterprise-level apps with Snowflake. Data warehousing concepts, data modeling, metadata management Mandatory Qualifications: 10 years of experience in database development 5 years of experience in Snowflake development and administration Bachelors degree or 7 yrs hands-on experience Preferred Qualifications: Knowledge of SQL language and cloud-based technologies Profound knowledge and hands-on experience in Snowflake Platform … Architecture. Proficient in SQL for data validation and querying, with experience in Snow SQL scripts. Excellent understanding of Snowflake Internals, Stages, and Integrations in Snowflake. Extensive experience in T-SQL stored procedures and complex query development. Experience in SQL query performance tuning, including proficiency with Query Profiler, Micro-partition pruning, Data spilling and understanding of optimizer and execution plans. Experience More ❯