1 to 25 of 291 Snowflake Schema Jobs

analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives … level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/… SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand Python code especially those using AWS boto3 APIs Good understanding of replication More ❯

analytics and decision making, using Primarily Data Warehouse/Mart, Data Lake, Self Service BI Tools and Data Science/ML platform using Oracle, Snowflake and AWS tech stack. Qualifications We are looking for a skilled Lead Data Engineer who: Personal Attributes: Self-starter with initiative and enthusiasm Thrives … level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/… SQL Server/Snowflake Understanding of AWS cloud and fundamental services like IAM, Lambda, S3 etc. Experience of liaising with both in-house and third party development teams, across different geographical sites Skilled at writing and understand Python code especially those using AWS boto3 APIs Good understanding of replication More ❯

style 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 … 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 … 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 More ❯

style 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 … 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 … 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 More ❯

style 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 … 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 … 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 More ❯

Principal Data Consultant (Snowflake/Matillion) Join to apply for the Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Continue with Google Continue with Google Principal Data Consultant (Snowflake/Matillion) 1 week ago Be among the first 25 applicants Join to apply for the … Principal Data Consultant (Snowflake/Matillion) role at Snap Analytics Get AI-powered advice on this job and more exclusive features. Sign in to access AI-powered advices Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google … authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You’ll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You’ll build and automate scalable, secure, and high-performance data pipelines handling diverse More ❯

Principal Data Consultant (Snowflake/Matillion) Application Deadline: 18 June 2025 Department: Data Engineering Employment Type: Full Time Location: Bristol, UK Compensation: £85,000 - £100,000/year Description As a Principal Data Consultant, at Snap, you'll be at the forefront of our most strategic initiatives. Your role … authoring blogs, presenting at webinars, and engaging in external speaking opportunities. Technical Delivery Excellence You'll design and optimise cloud-based data architectures (e.g. Snowflake, Databricks, Redshift, Google BigQuery, Azure Synapse) to support advanced analytics. You'll build and automate scalable, secure, and high-performance data pipelines handling diverse … closely with our clients to design the correct data models to support their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion More ❯

PostgreSQL, MS SQL Server). Experience with NoSQL databases (e.g., MongoDB, Cassandra, HBase). Familiarity with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake). Hands-on experience with ETL frameworks and tools (e.g., Apache NiFi, Talend, Informatica, Airflow). Knowledge of big data technologies (e.g., Hadoop, Apache … building scalable data systems. Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., Jira, Confluence). Understanding data modeling concepts (e.g., star schema, snowflake schema) and how they relate to data warehousing and analytics. Knowledge of data lakes, data warehousing architecture, and how to design More ❯

maintenance of bronze, silver, and gold data tables Optimize query performance, indexing strategies, and resource utilization for scalable data solutions Implement and refine database schema designs to align with evolving business requirements Coordinate with AI/ML teams to structure data sets and support advanced analytical needs Lead the … high-quality deliverables. Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP) and associated managed services Experience with data modeling frameworks (e.g., star schema, snowflake schema) Knowledge of data governance principles, data cataloging, and metadata management Ability to work with version control tools (e.g., Git, SVN More ❯

contribute, grow, and work on diverse data challenges, join us! Your Contribution Design and develop efficient and scalable data models and data marts (e.g.star schema, snowflake schema) using best practices for data warehousing and business intelligence that are optimized for self-service analytics tools Collaborate with business More ❯

SQL Database, Azure Data Factory, Azure Data Lake, and related Azure data services. Expertise in designing and optimizing relational and dimensional data models (star schema, snowflake schema). Experience with ETL tools and data integration techniques. Proficient in SQL and other data querying languages. Understanding of data More ❯

target state requirements Support in designing enterprise-level data products Apply conceptual, logical, and physical data model understanding Utilize data modelling techniques (e.g., star schema, snowflake schema, normalization/denormalization) Required Skills & Experience: Advanced SQL, SSIS packages, Python and Shell Scripting expertise Experience using ER Studio Hands More ❯

Modeler in designing Enterprise Data Products. Understand Data Model terminology (Conceptual, Logical, Physical Data Models). Apply enterprise data modelling techniques such as star schema, snowflake schema, etc. Utilize data de-normalization and normalization techniques. Key skills/knowledge/experience: Experience in Advanced SQL, SSIS packages More ❯

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 More ❯

Ensure high-quality, accurate, and professional outputs that drive real business decisions. Key Experience: - Proficiency in SQL for data transformation, analysis and problem-solving. - Snowflake, DBT, Data Modelling, Data Vault, Data warehousing and GitHub - Understanding of version control systems, continuous integration pipelines, and service-oriented architecture. - Understanding the need More ❯

tasks (e.g., scripting, automation, data manipulation libraries like Pandas, interacting with APIs). Solid understanding of data warehousing concepts (e.g., dimensional modeling, star/snowflake schemas) and database design principles. Hands-on experience with data build tool (dbt) or similar data transformation frameworks. Nice to Have: Bachelor's degree More ❯

Functions, Dataflow). Proven expertise in Power BI—developing dashboards, managing datasets, and using DAX. Solid understanding of data warehousing, data modelling (star/snowflake schemas), and ETL design. Familiarity with version control for data code. Proficiency in SQL and experience with relational databases. Strong programming skills in Python More ❯

Functions, Dataflow). Proven expertise in Power BI, developing dashboards, managing datasets, and using DAX. Solid understanding of data warehousing, data modeling (star/snowflake schemas), and ETL design. Familiarity with version control for data code. Proficiency in SQL and experience with relational databases. Strong programming skills in Python More ❯

/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally More ❯

/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally More ❯

/CD) Proficiency in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally More ❯

variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw data into the More ❯

variety of stakeholders including the facilitation of client workshops. An understanding of key data modelling concepts (e.g., fact and dimension tables, star schemas and snowflake schemas, denormalised tables, and views). Experience with data handling, e.g. data querying, data manipulation or data wrangling to transform raw data into the More ❯

and finance teams among others. You will work across the entire data stack—from ingestion to visualisation—transforming raw data into actionable insights in Snowflake with dbt cloud. You will closely partner with the Data Analyst to solve both critical business problems as well as creating innovative data products … ensure efficient querying and scalability as data needs grow while being cost effective. ● Enable self service through deep understanding of the domain and creative schema design as well as working closely with business stakeholders. ● Champion data integrity and governance, ensuring data is clean, accurate, documented and reliable across all … design and recommendations to both technical and non-technical audiences. ● Experience in SQL and hands-on experience with data warehouses/lakes/lakehouses (Snowflake, Databricks, Redshift, etc.). Experience with dbt is a plus. ● High proficiency in data modelling, either through university projects or your first role, you More ❯

and finance teams among others. You will work across the entire data stack—from ingestion to visualisation—transforming raw data into actionable insights in Snowflake with dbt cloud. You will closely partner with the Data Analyst to solve both critical business problems as well as creating innovative data products … ensure efficient querying and scalability as data needs grow while being cost effective. ● Enable self service through deep understanding of the domain and creative schema design as well as working closely with business stakeholders. ● Champion data integrity and governance, ensuring data is clean, accurate, documented and reliable across all … design and recommendations to both technical and non-technical audiences. ● Experience in SQL and hands-on experience with data warehouses/lakes/lakehouses (Snowflake, Databricks, Redshift, etc.). Experience with dbt is a plus. ● High proficiency in data modelling, either through university projects or your first role, you More ❯