1 to 25 of 315 Permanent Snowflake Jobs

Have These: Exposure to, and ideally experience with, modern data architectures (e.g. data lake, lake house, data mesh) and accompanying technologies (e.g. Azure Synapse, Snowflake, Amazon Redshift) Awareness of data governance and all surrounding legislation Interest in security and how to handle PII data Excellent written and verbal communication skills more »

conceptualization and optimization. Problem-solving attitude and practical troubleshooting skills. Tools Platforms & Tools : Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data more »

solving attitude and effective troubleshooting skills. What you’ll be using: Platforms & Tools : Cloud Computing platforms (ADLS Gen2), Microsoft Stack (Synapse, DataBricks, Fabric, Profisee), Snowflake Data Integration, Azure Service Bus, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, DeltaLake, Azure DevOps, Azure Monitor, Azure Data more »

of expertise. As a great influencer with great communication skills, you love sharing your knowledge with others and helping them grow. Our Technology Stack Snowflake Salesforce CDP AWS AWS Lakeformation AWS Kinesis AWS Event Bridge Glue/Glue Data Brew App Flow NOSQL Databases e.g. DynamoDB SQL Databases e.g. MySQL more »

principles and practices and tools like Jira and Confluence. What technical skills you will have Experience with general Cloud products (Cloyd SQL, BigQuery, RedShift, Snowflake, Apache Beam, Spark) or similar products. Experience with open-source data-stack tools such as Airflow, Airbyte, DBT, Kafka etc. Awareness of data visualisation tools more »

automation, data visualization tools, DevOps practices, machine learning frameworks, performance tuning, and data governance tools. Technical proficiency in Microsoft Azure SQL (PaaS & IaaS), CosmosDB, Snowflake Data Warehouse, Power Apps, Reporting Services, Tableau, T-SQL, Python Programming, and Azure Purview. If you're ready to join a dynamic team and drive more »

processes, and technologies. Proficiency in SQL, ideally with Azure SQL, and experience working with relational databases. Programming experience in Python or Scala. Experience with Snowflake and its tooling (Snowpark, Snowpipe, etc.). Familiarity with Fivetran, DBT, TensorFlow, PyTorch, and other modern data stack components. Knowledge of data integration and ETL more »

industry standard processing patterns SKILLS AND QUALIFICATIONS * Experience within a commercial environment creating ETL pipelines in python * Exposure to analytical data warehouses such as Snowflake, Redshift or BigQuery (Redshift Preferred) * Experience with data orchestrators such as Airflow, AWS Step Functions, AWS Batch * Knowledge of Agile development methodologies * Knowledge of automated more »

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 more »

definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech more »

or equivalent experience Strong experience working as a Data Engineer, preferably in a cloud-based environment. Experience with cloud-based data storage platforms, preferably Snowflake, Azure SQL Data Warehouse or AWS Redshift. Solid practical experience and understanding of DataVault and Kimball-style data warehousing methodologies. Proficient in SQL and data more »

equivalent experience. Experience designing cloud data warehouse solutions, data modelling, and building ETL/ELT processes, preferably on GCP or equivalent platforms (AWS, Azure, Snowflake). Proficiency with SQL, Python, Docker, and Terraform (or similar IaC tools). Strong knowledge of security best practices, data privacy, and GDPR compliance. Proven more »

we’re looking for: Experience of creating advanced visualisations in Tableau. Experience in SQL and Python. Experience of AWS, Airflow, S3 and working with Snowflake in a large complex organisation is advantageous. Experience of establishing processes to identify and managing issues, in data or technology, and then take ownership through more »

Python, Spark, SQL Experience of developing enterprise grade ETL/ELT data pipelines. NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. Snowflake Data Warehouse/Platform Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, GCP Cloud Build, Ansible etc Experience building and deploying solutions more »

with the following skills and qualifications: Data Expertise: Proficiency in cloud-based data pipelines and SQL. Cloud Savvy: Experience with cloud-based platforms like Snowflake and BigQuery. Development Prowess: Thriving in a CI/CD, TDD, and Agile development environment. Data Visualisation: Navigating data visualisation tools like Tableau and Looker more »

designs, database development standards, implementation and management of data warehouses and data analytics systems. What experience will you need? Apache Spark Azure Databricks ETL Snowflake Big Query What's in it for you? You will embark upon a career with life-long learning at its core, facilitating rapid professional and more »

languages or toolsets: AutoSys, Azure Function App, Azure GIT, Azure Portal, C#, Databricks, GraphQL/Graph API, Informatica CDI, Informatica Power Center, Java, Javascript, Snowflake, PowerBI, PyRecs, Python, Selenium, Spark, and SQL Nice to have skills Ability to propose and estimate the financial impact of architectural alternatives Existing knowledge of more »

implement automated data quality checks and monitoring processes. KEY SKILLS Proficiency in SQL and data querying validation and testing purposes. Hands on experience with Snowflake or Airflow or DBT. Familiarity with data integration, ETL processes, and data governance frameworks. Solid understanding of data structures, relational databases and data modelling concepts. more »

Trade finance, etc.) Demonstrable experience in the architecture and deliver of real time analytics platforms Python/Java experience Cloud computing platforms (Azure preferable) Snowflake, Power BI, Kafka, SQL will be utilised Relocation to the UAE is a must This is a great role for an experienced data engineer/ more »

team ensuring best practises, quality in data transformation and modelling. Vast knowledge on tech such as; SQL, Kafka, Dataform, Airflow, DBT, Tableau, PowerBI, Redshift, Snowflake and BigQuery. This position does not offer Visa Sponsorship , please refrain from applying if you require sponsorship at any stage. If this sounds like you more »

lifecycles. Transform technical data into actionable insights for stakeholders. The key skills we are looking for are: Expertise with Python and Pysprark Strong with Snowflake Experience with AWS Experience with data visualisation Experience developing datasets and data pipelines Strong SQL skills Familiarity with Power-Bi Platform If this sounds like more »

best practices. A team player with excellent communication & collaboration skills. Desirable: Experience developing and maintaining data warehouses/lakes using big data solutions (e.g., Snowflake, Databricks). Familiarity with SQL Server, PostgreSQL or NoSQL database technologies. Previous experience within banking or finance desirable, but by no means necessary. If you more »

common information security management frameworks and regulatory requirements and applicable standards such as ISO 27001 Experience in using modern data warehouse platforms such as Snowflake and Iceberg Certifications in cloud platforms and/or data engineering (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer) are a plus Benefits more »

software (OnePM) Knowledge and understanding of common applications i.e. SAP, Team Centre, Salesforce, SharePoint, Power Platform desirable Experience of working with databases (e.g. the snowflake data platform), managing Data Migration and Integration projects, and using Data visualisation software, such as Tableau or PowerBI advantageous Who is Siemens Energy? At Siemens more »

have access to accurate up to date data We have a modern data stack already in place comprising of a Snowplow data pipeline, a Snowflake data warehouse, dbt as the data transformation tool and our BI tool, Looker. We don’t expect you to be fluent with all these technologies more »