1 to 25 of 108 Permanent Snowflake Schema Jobs

Foundational understanding of Big Data architecture (Data Lakes, Data Warehouses) and distributed processing concepts (e.g., MapReduce). ETL/ELT Basic knowledge of ETL principles and data modeling (star schema, snowflake schema). Version Control Practical experience with Git (branching, merging, pull requests). Preferred Qualifications (A Plus) Experience with a distributed computing framework like Apache Spark More ❯

tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM, KMS, and RBAC implementation. Cloud More ❯

tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM, KMS, and RBAC implementation. Cloud More ❯

tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in IAM, KMS, and RBAC implementation. Cloud More ❯

We are seeking a highly skilled Data Engineer/ETL Developer with strong experience in data warehousing, ETL development, and Snowflake cloud data platforms. The ideal candidate will have advanced proficiency in SQL and Unix scripting to design, develop, and maintain scalable and efficient data pipelines that support business intelligence, analytics, and reporting needs. Key Responsibilities Design, develop, and … maintain data warehouse solutions to support analytics and reporting. Build and optimize ETL pipelines for data ingestion, transformation, and loading across multiple systems. Work extensively with Snowflake for data modeling, performance tuning, and data sharing. Develop and maintain Unix shell scripts for automation, job scheduling, and system monitoring. Write complex and optimized SQL queries, stored procedures, and performance-tuned … . 3-7 years of hands-on experience in data warehousing and ETL development. Strong proficiency in SQL (query optimization, complex joins, CTEs, window functions). Practical experience with Snowflake (data loading, virtual warehouses, security, cost optimization). Solid experience with Unix/Linux scripting and automation tools. Familiarity with ETL tools such as Informatica, Talend, DataStage, SSIS, or More ❯

SSAS, data modelling, and BI pipelines, who thrives in a collaborative environment and is eager to drive innovation in data infrastructure. Role Responsibilities Apply best practice to Star/Snowflake schema data modelling with considerations in challenging and verifying data quality and accuracy. Lead the addition of new data sources to the Data Lake from 3rd party sources. More ❯

SSAS, data modelling, and BI pipelines, who thrives in a collaborative environment and is eager to drive innovation in data infrastructure. Role Responsibilities Apply best practice to Star/Snowflake schema data modelling with considerations in challenging and verifying data quality and accuracy. Lead the addition of new data sources to the Data Lake from 3rd party sources. More ❯

test cases and executing manual and automated tests Preferred Qualifications: Advanced Tools & Technologies: Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse) SQL Certification Experience with cloud data platforms (e.g., Snowflake) Familiarity with data visualization tools (e.g., Tableau, Power BI) Scripting experience in Python or Shell for test … Providers Exposure to AI/ML model validation or testing data pipelines that support machine learning workflows ISTQB or equivalent QA certification Familiarity with data warehouse concepts (star/snowflake schema, fact/dimension tables) Strong understanding of data quality, data profiling, and reconciliation techniques Pay is based on several factors including but not limited to local labor More ❯

test cases and executing manual and automated tests Preferred Qualifications: Advanced Tools & Technologies: Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse) SQL Certification Experience with cloud data platforms (e.g., Snowflake) Familiarity with data visualization tools (e.g., Tableau, Power BI) Scripting experience in Python or Shell for test … Providers Exposure to AI/ML model validation or testing data pipelines that support machine learning workflows ISTQB or equivalent QA certification Familiarity with data warehouse concepts (star/snowflake schema, fact/dimension tables) Strong understanding of data quality, data profiling, and reconciliation techniques Pay is based on several factors including but not limited to local labor More ❯

test cases and executing manual and automated tests Preferred Qualifications: Advanced Tools & Technologies: Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse) SQL Certification Experience with cloud data platforms (e.g., Snowflake) Familiarity with data visualization tools (e.g., Tableau, Power BI) Scripting experience in Python or Shell for test … Providers Exposure to AI/ML model validation or testing data pipelines that support machine learning workflows ISTQB or equivalent QA certification Familiarity with data warehouse concepts (star/snowflake schema, fact/dimension tables) Strong understanding of data quality, data profiling, and reconciliation techniques Pay is based on several factors including but not limited to local labor More ❯

test cases and executing manual and automated tests Preferred Qualifications: Advanced Tools & Technologies: Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse) SQL Certification Experience with cloud data platforms (e.g., Snowflake) Familiarity with data visualization tools (e.g., Tableau, Power BI) Scripting experience in Python or Shell for test … Providers Exposure to AI/ML model validation or testing data pipelines that support machine learning workflows ISTQB or equivalent QA certification Familiarity with data warehouse concepts (star/snowflake schema, fact/dimension tables) Strong understanding of data quality, data profiling, and reconciliation techniques Pay is based on several factors including but not limited to local labor More ❯

test cases and executing manual and automated tests Preferred Qualifications: Advanced Tools & Technologies: Strong understanding of Bronze/Silver/Gold data architecture in modern data platforms (e.g., Databricks, Snowflake, Azure Synapse) SQL Certification Experience with cloud data platforms (e.g., Snowflake) Familiarity with data visualization tools (e.g., Tableau, Power BI) Scripting experience in Python or Shell for test … Providers Exposure to AI/ML model validation or testing data pipelines that support machine learning workflows ISTQB or equivalent QA certification Familiarity with data warehouse concepts (star/snowflake schema, fact/dimension tables) Strong understanding of data quality, data profiling, and reconciliation techniques Pay is based on several factors including but not limited to local labor More ❯

Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT More ❯

Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT More ❯

Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT More ❯

Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT More ❯

Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies ETL/ELT More ❯

Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such More ❯

Experience: Experience integrating data from external systems via APIs. Knowledge of Python, R, or similar languages for data manipulation and automation. Familiarity with data warehousing concepts, including star/snowflake schema design. Experience working in a professional services or legal sector environment. Understanding of data governance, compliance, and security best practices. Exposure to other Microsoft data tools such More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

IronPython automation, document properties. Conduct detailed analysis of Spotfire markings, filters and visual structures to produce functional specification documents for migration. Define and redesign semantic data models (star/snowflake schemas) suitable for Power BI. Collaborate with data engineers and Power BI developers to align source data, dataflows and model transformations. Work with business stakeholders to define functional parity More ❯

REST APIs , Power BI Embedded , and programmatic data access patterns Data Engineering & Modelling Strong T-SQL skills for data retrieval and performance tuning Knowledge of dimensional modelling , star/snowflake schemas , and data warehouse best practices Preferred Qualifications Microsoft certifications such as DA-100 , DP-500 , or MCSE: BI Familiarity with CI/CD for BI assets (e.g. Git More ❯