126 to 150 of 816 Snowflake Jobs

identity resolution - deterministic/probabilistic matching, household graphs, clean rooms, etc. Expert proficiency in SQL and Python or R; comfortable in cloud data environments (Snowflake, Bigquery, Databricks). Experience with data visualization or BI tools (Tableau, Power BI) to communicate insights effectively. Compensation range: The salary range for this position ...

plus Diep begrip van Agile, CI/CD en solution lifecycle management Certificeringen in Azure/AWS of data platforms zoals Databricks of Snowflake zijn een pré Aantoonbare projectmanagementvaardigheden en zelfstandige werkhouding Goede communicatie- en presentatieskills in Nederlands en Engels Proactieve, zelfstandige werkhouding Sterke communicatieve vaardigheden Teamleiderschap en coaching Python ...

stack of SQL and Python, with experience across ETL and ELT, orchestration, streaming and data warehousing, using tools such as Spark, Kafka, Airflow, dbt, Snowflake, BigQuery or Databricks on AWS, GCP or Azure. Some roles focus on hands-on delivery, others on documenting and structuring that work. Commitment 40 hours ...

modelling, data vault, medallion architecture) and strong SQL skills Experience with cloud data platforms, particularly AWS, as well as platforms such as Databricks and Snowflake; exposure to Azure or GCP is beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures ...

such as Oracle DBMS/SQL Server, Python, SQL, T-SQL/PLSQL, SSIS, SAP Data Services), cloud data platforms (such as Azure, AWS, Snowflake), and data tools (such as Azure Data Factory, Fabric Data Factory, Synapse, Fabric, Spark, Notebooks), source control (Git) and the DevOps methodology. Ability to design ...

software testing, or data testing roles. Strong SQL skills, including writing complex queries for data validation and analysis. Hands-on experience testing data within Snowflake or other modern cloud data platforms. Solid understanding of the Software Development Lifecycle (SDLC), Agile methodologies, and QA best practices. Strong analytical and problem-solving ...

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 ...

uphold data governance standard practices. Qualifications & Skills Advanced SQL: Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision ...

data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.) Strong ...

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 ...

Data modelling and data warehousing Extract-Transform-Load (ETL) Creating data pipelines Ethics in data and AI Cloud and big data technologies (AWS, Snowflake, PySpark) Working with unstructured data Working with Generative AI – Large language models (LLMs) and image generation (ChatGPT, Gemini) Consulting Skills Effective teamwork Business acumen Time management ...

effectively with both technical and business stakeholders.Experience working collaboratively across sales, pre-sales, consulting and delivery teams.PreferredPrevious experience at AWS, Microsoft, Google Cloud, Databricks, Snowflake or a major systems integrator.Experience securing partner funding and co-investment.Experience with marketplace sales motions and cloud-consumption models.Existing executive-level relationships within partner organisations.Understanding ...

Digital twin analytics.* LLM understanding.**Preferred Certifications*** Google Cloud Data Engineer or Machine Learning Engineer.* Azure Data Scientist or AWS Machine Learning certification.* Databricks, Snowflake, or equivalent data platform certification.* TM Forum SID, Open API, or Autonomous Networks training.**Nice-to-Have Qualifications*** Experience with telecom digital twin platforms.* Experience ...

automation, or enterprise data architecture.• Knowledge of public cloud platforms such as AWS, Azure, or GCP, and exposure to cloud data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Microsoft Fabric. Relevant certifications are a plus, although not a requirement.• Strong understanding of analytics workflows, data integration, data governance, automation ...

Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued Nice to Have: Databricks certifications Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company Published thought leadership (blogs, conference talks, open source contributions) Industry vertical expertise with executive-level ...

growth environments. Technical Skills: Experience building and operating ETL/ELT pipelines. 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 some of these or similar technologies ...

etc. Experience with data pipeline technologies like AWS Glue, Airflow, Kafka, or other cloud based equivalence. Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. Container-based deployment experience using Docker and Kubernetes. Strong verbal and written communication skills. NICE TO HAVE: Experience working with or data modeling ...

with data orchestration tools: e.g. Apache Airflow, Dagster. Experience with big data storage and processing technologies: e.g. DBT, Spark, SQL, Athena/Trino, Redshift, Snowflake, RDBMSs (PostgreSQL/MySQL). Knowledge of event‐driven architectures and streaming technologies: e.g. Apache Kafka, Kafka Streams, Apache Flink. Experience with public cloud environments ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

healthcare, financial services or similar) - Knowledge of modern cloud data platforms and Spark-based ecosystems, such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, Snowflake or equivalent - Experience supporting domain-oriented lakehouse, warehouse or data-product implementations - Experience with master-data management, shared identifiers and reference-data governance - Working knowledge ...

Your Talents Include the Following? Deep technical expertise within one or more major cloud data ecosystems, including Microsoft Azure and Fabric, Databricks, AWS and Snowflake, or Google Cloud Platform and BigQuery. Proven experience architecting and implementing enterprise-scale data platforms within client environments. Strong knowledge of modern data architecture patterns ...

deliver scalable, secure, and high-performing data solutions across cloud and on-premises environments. The role requires expertise in modern data platforms including Snowflake, Databricks, Microsoft Fabric, Azure, AWS, and Google Cloud, along with strong knowledge of data modeling, governance, data integration, and AI/ML enablement. Key Responsibilities Enterprise … conceptual, logical, and physical data models. Develop enterprise data roadmaps aligned with business strategy. Data Platform Design Architect modern cloud-based data platforms using Snowflake, Databricks, Azure Synapse, Microsoft Fabric, AWS Redshift, and Google BigQuery. Design Lakehouse, Data Warehouse, and Data Mesh architectures. Build scalable ingestion, transformation, and serving layers. ...

Data team, creating clear ownership, standards, priorities and development pathways. Own the reliability, scalability, security and evolution of the company data platform, including Snowflake, and the wider reporting estate. Balance business‐as‐usual delivery, ad hoc insight requirements and strategic transformation programmes. Turn business challenges into practical data products, analytical … real‐time pipelines using tools such as Azure Data Factory, Prefect or Airflow. Maintain and evolve cloud and in-house database platforms, particularly Azure, Snowflake, Microsoft SQL Server, MongoDB and SQLite. Set up, configure and operate Snowflake environments, including account structure, databases, schemas, virtual warehouses, RBAC, secure data sharing, workload ...