1 to 25 of 193 Snowflake Jobs

data and ML environments. Certifications & Tools Familiarity with data visualization and UI tools (Power BI, PowerApps, Tableau). Experience with data science platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and cloud-native data engineering tools (Azure Data Factory, AWS Glue, GCP Dataflow). Other Requirements Minimum 8 years ...

data and ML environments. Certifications & Tools Familiarity with data visualization and UI tools (Power BI, PowerApps, Tableau). Experience with data science platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and cloud-native data engineering tools (Azure Data Factory, AWS Glue, GCP Dataflow). Other Requirements Minimum 8 years ...

dimensional modelling, lakehouse/warehouse patterns, metadata/lineage, data quality, and governance. Working knowledge of non‐Microsoft tools/platforms (for example Databricks, Snowflake, Tableau, Qlik, SAP BusinessObjects) to help clients make informed choices and integrate where needed. Demonstrable skills delivering Generative AI solutions on Azure (for example Azure ...

engineering tasks. * Experience with cloud platforms such as AWS, Azure, or GCP. * Hands-on experience with data technologies including Apache Spark, Databricks, Kafka, Airflow, Snowflake, and Hadoop ecosystems. * Experience designing and maintaining data warehouses and data lakes. * Knowledge of DevOps and CI/CD tooling including Git, Jenkins, Azure DevOps ...

cloud, e.g. Azure (preferred), AWS or GCP. Experience working with and manipulating structured & unstructured data. Experience working with modern data platforms e.g. Fabric, Snowflake, Databricks . Web application design and build. Experience using Data Visualisation tools such as Power BI. An understanding of the broader data ecosystem, including data modelling ...

hands-on experience with SQL, Python and distributed data processing Proven experience building and operating modern cloud data platforms Experience with technologies such as Snowflake, Databricks and Power BI Strong understanding of CI/CD, infrastructure-as-code and data quality practices Solid knowledge of data security, access controls ...

Vertex AI) Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) Data & Engineering Excellence Lead the evolution of modern data platforms (Databricks, Snowflake, Synapse, BigQuery) Ensure robust data engineering practices (Airflow, dbt, Prefect) and governance (Collibra, Purview) Drive scalable lakehouse architectures (Delta Lake, Iceberg, Hudi) Cloud, Infrastructure & MLOps ...

migrations Expert-level SQL/T-SQL with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines ...

APIs or analytical tools . Experience with Power BI, Tableau, KNIME or Python visualisation frameworks . Familiarity with modern cloud platforms (Azure, AWS, GCP, Snowflake, Databricks). GenAI & LLM Fluency Practical experience using large language models (LLMs) via APIs (e.g. OpenAI, Azure OpenAI, Anthropic). Structured prompt engineering , including templates ...

cloud connectivity, API Gateways GCP (BigQuery, GCS, Dataflow) Deep expertise in: Databricks (Lakehouse architecture, Delta Lake, Unity Catalog, Delta Sharing, Pyspark, Spark SQL etc.) Snowflake (data warehousing & data sharing, Iceberg, ) Strong understanding of: Data architecture patterns, industry benchmarking, Data integration patterns (ETL/ELT, streaming, CDC, APIs) Data governance & metadata ...

Partner with global stakeholders to translate business needs into technical outputs. Requirements & Tech Stack Core Technical Skills Databases: Expert SQL skills; extensive experience with Snowflake and MS SQL Server . ETL & Modeling: Strong experience with dbt and at least one ETL tool ( Matillion, Fivetran, SNP Glue, or Informatica ). ...

Strong analytical and problem-solving skills Ability to work independently and collaboratively in a fast-paced environment Desirable Skills Microsoft Fabric experience Databricks or Snowflake exposure ETL/data integration tool experience API integration experience Python scripting/automation knowledge Experience working with complex or regulated datasets Understanding of data ...

with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong ...

with senior stakeholders and client leadership Translating technical requirements into business outcomes Driving programme delivery across modern data environments Environment Azure, AWS, GCP Databricks, Snowflake, Power BI Python, SQL Jira, Confluence, Agile/SaFe Modern data architecture and governance environments Requirements Experience delivering large-scale data or AI programmes Strong ...

standard operating procedures. Compliance & Support: Ensure IT Controls are met and provide technical support/mentorship. Qualifications & Experience Core Tech Stack: Strong experience with Snowflake, MS SQLServer , DBT , and Azure DevOps (or similar CI/CD). Data Expertise: Solid understanding of data modeling, curation, orchestration, and ETL tools (e.g. ...

Experience working with CI/CD, Git and structured deployment processes An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks Ability to work autonomously and prioritise your own workload Confidence working with non-technical stakeholders A pragmatic approach - able to balance ...

established enterprise approaches and modern data patterns, including: Azure data systems (must have). Oracle/AWS experience is ideal. Knowledge of Databricks and Snowflake is ideal. Experience of large-scale data migration programmes. Data lake and lakehouse architectures. Event-driven and streaming architectures. Data Mesh and/or Data ...

modern data stack. Advanced SQL capability, including complex transformations, window functions, and performance optimisation. Proven experience working with cloud data warehouses such as Databricks, Snowflake, or BigQuery. Deep understanding of dimensional modelling techniques and tools such as dbt. Hands-on expertise with enterprise BI platforms, such as Power BI, Looker ...

Experience with tooling such as Jira, Confluence or similar platforms ·Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python ·Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants ...

platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python, Java, Scala, Go) Pragmatic approach to solving ...

exploration or automation Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI). Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, Lakehouse). Experience with predictive or prescriptive analytics beyond basic forecasting. Exposure to automation or orchestration tools for analytics pipelines. ...

cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest in modern AI/ML techniques Experience ...

science, preferably in the software industry.* Knowledge of and hands-on experience with public clouds (AWS, Azure, GCP) and cloud data warehousing solutions like Snowflake and Databricks. Certifications with each are a plus. Understanding of SQL, Python, R, Apache Spark or similar product or language are also a plus.* Strong ...