76 to 100 of 840 Permanent Snowflake Jobs

Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflake and hands‐on experience with Python, PySpark, AWS, and Airflow for building scalable, high-performance data platforms. The role demands strong technical leadership, problem‐solving ...

Experience leading data engineering projects or workstreams. Strong experience with cloud platforms and cloud data services . Experience with modern data platforms such as Snowflake and/or Microsoft Fabric . Strong data modelling experience across dimensional, relational and/or data vault approaches. Experience with Power BI, Tableau ...

application: Experience with front‐end web technologies and frameworks such as React and Next.js. Experience with nextgen datawarehouse/data analytics platforms such as Snowflake or Databricks Your First 6 Months You can expect to quickly become involved in meaningful production work, including: 1. AWS Cloud Migration Support key elements ...

. Experience working in other cloud environments (AWS, GCP). Familiarity with building and supporting cloud‐native data services (e.g., Snowflake, Databricks, Azure Synapse, Azure HDinsight, Azure AI Foundry). Benefits Remote‐first working with flexibility around client needs. Private medical insurance. Projects with global brands & public sector leaders, working ...

modern data architectures (data lakehouse, event-driven pipelines, and orchestration systems). Strong proficiency in Python, SQL, and IaC (Terraform). Experience using dbt, Snowflake, AWS, orchestration tool like Prefect. Experienced in building and maintaining batch and streaming data pipelines at scale. Skilled in managing and optimising cloud infrastructure ...

Insurance; Healthcare and Lifesciences; Telecom, Media, and Technology; and Retail, Manufacturing and Distribution space. Deep collaborations with partners like Microsoft, AWS, Salesforce, and Snowflake strengthen our ability to deliver cutting-edge AI solutions. Our 30+years of partnership with Microsoft, and being part of the elite Microsoft Inner Circle, places ...

Insurance; Healthcare and Lifesciences; Telecom, Media, and Technology; and Retail, Manufacturing and Distribution space. Deep collaborations with partners like Microsoft, AWS, Salesforce, and Snowflake strengthen our ability to deliver cutting-edge AI solutions. Our 30+years of partnership with Microsoft, and being part of the elite Microsoft Inner Circle, places ...

workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real ...

building, and operating ETL/ELT pipelines and large-scale data architectures. Hands-on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability ...

Platform Leads) and driving high-level database modernization strategy. Legacy Data Warehouse & Modernization Architecture understanding of legacy EDW systems (any of Teradata, Netezza, Snowflake, Synapse, Redshift, and Exadata) and architectures required to successfully transition workloads to the Databricks Data Intelligence Platform. Mastery of migration migrations scope & progression taking customers from ...

building, and operating ETL/ELT pipelines and large‐scale data architectures. Hands‐on experience with modern data stacks — our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with similar technologies is essential). Ability ...

Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks Ability to think strategically and relate architectural decisions and recommendations to customer needs. Ability to assess traditional and modern data architectural components based ...

Python, Business Intelligence platforms, or Product Analytics tools. Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks). A successful record of experience in sales engineering, customer success, client‐facing professional services, consulting, or technical project management. Excellent written, analytical, communication, and presentation ...

work in Cloud Data Engineering, Analytics and ML. Required Skills & Experience10+ years in data engineering, data warehousing, analytics or similar roles. Strong expertise in Snowflake architecture and AWS cloud services (incl API interfaces).Experience leading and mentoring engineering teams, particularly distributed or remote teams. Strong proficiency in programming languages like ...

Slalom is agnostic when it comes to the technology we work with and we support clients in a range of data cloud partnershipsincludingAWS, Azure, Snowflake and Databricks to name but a few. We are interested in individuals who are passionate and curious about what is next. As a Senior Consultant ...

services environment or directly in industry. Hands‐on experience architecting solutions on at least one major cloud data platform (e.g., AWS, Azure, GCP, Databricks, Snowflake), including data pipeline and integration design. Strong data modelling capability across conceptual, logical and physical models, with practical experience of data quality, metadata and governance ...

teams Preferred Experience with NLP, computer vision, or multimodal AI models Knowledge of AI safety, guardrails, and responsible AI practices in production Familiarity with Snowflake, Databricks, or similar data platforms Prior experience acting as an AI champion or innovator within a larger organisation Consulting or client-facing delivery experience Bachelor ...

candidates have strong SQL and Python skills, experience with ETL/ELT, orchestration, streaming and data warehousing, and familiarity with Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure. #J-18808-Ljbffr ...

engineering solutions. We're looking for someone with at least three years' experience in Data Engineering and hands-on experience with Microsoft Fabric, Databricks, Snowflake or similar cloud platforms. You'll have strong Python/PySpark skills, experience integrating with APIs, and a background in Agile development. ...

engineering solutions. We're looking for someone with at least three years' experience in Data Engineering and hands-on experience with Microsoft Fabric, Databricks, Snowflake or similar cloud platforms. You'll have strong Python/PySpark skills, experience integrating with APIs, and a background in Agile development. ...

might also have: Familiarity with DevOps style data model development through packages such as DBT Familiarity with commonly used cloud based infrastructures such as Snowflake, Microsoft Azure etc. A good understanding of version control systems such as Git or Perforce #J-18808-Ljbffr ...

. Demonstrated experience engineering within a data warehouse or dimensional data modeling. Demonstrated understanding of cloud-based tools, including Power BI, Data Factory, Databricks, Snowflake, (link removed), Excel, and database management. Demonstrated understanding of the software development lifecycle. Experience may be gained in any work or educational program. To apply ...

experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). Strong knowledge of data security, compliance, and governance frameworks. Effective communication in English. Preferred Qualifications Experience ...

Technical Requirements Strong Power BI development, data modelling and DAX skills. Hands‐on experience with Microsoft Fabric, or transferable experience from platforms such as Snowflake, Databricks or Synapse. Understanding of Lakehouse and warehouse concepts, medallion architecture, pipelines, dataflows and dev/test/prod environments. Experience building shared semantic models ...

Core/Cloud). Strong proficiency in SQL and good understanding of data modelling patterns. Experience with a modern cloud data warehouse (Snowflake, BigQuery etc). Experience with version control using Git. Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. A detail ...