51 to 75 of 285 Remote Snowflake Jobs

on mission critical data pipelines and ETL systems, hands-on experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Detailed problem-solving approach, coupled with a strong sense of ownership and drive A passionate bias to action and passion for delivering high-quality data More ❯

for example Cloud Practitioner, Associate Architect or Associate Developer. Experience that would be advantageous: Experience in working with the below toolsets: Ab Initio Python Snowflake Sterling File Transfer Logz.io and New Relic AWS services Where and how you'll work This is a permanent position and is based in our More ❯

Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices Bonus: DP-203 or Fabric Analytics certification highly desirable. Important: Must have the More ❯

Data Factory, Synapse, and Fabric ✅ Strong SQL & Python skills ✅ Experience across ETL/ELT, data lakes, modelling, and governance ✅ Exposure to Spark, Kafka, or Snowflake a plus ✅ Agile/DevOps mindset and experience with Git, APIs, microservices Bonus: DP-203 or Fabric Analytics certification highly desirable. Important: Must have the More ❯

.//Excellent programming skills in Python.//SQL/NoSQL database management systems (PostgresSQL, MongoDB).//Familiar with BigQuery, Snowflake, Firebolt and/or Amazon (preferred).//Ability to work on messy, complex real-world data challenges.//Knowledge of BI Tools More ❯

.//Excellent programming skills in Python.//SQL/NoSQL database management systems (PostgresSQL, MongoDB).//Familiar with BigQuery, Snowflake, Firebolt and/or Amazon (preferred).//Ability to work on messy, complex real-world data challenges.//Knowledge of BI Tools More ❯

backlog management, and stakeholder engagement Experience working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide More ❯

backlog management, and stakeholder engagement Experience working with or managing Data Engineering teams, with the ability to translate technical and business needs Knowledge of Snowflake and AWS platforms Familiarity with ETL tools such as DBT and Matillion Understanding of SQL and Python—enough to contribute to technical discussions and guide More ❯

technologies. Skills and experience required: Minimum of 8+ years' experience in data engineering, with at least 3 years in a leadership capacity. Experience with Snowflake and Matillion preferred. Hands-on experience with large-scale real-time and batch data pipelines. Experience with Azure cloud platform, and security concepts i.e. Keyvault More ❯

intersection of technology, analytics, and manufacturing. Why This Role? Work with real-time IoT data from cutting-edge manufacturing equipment. Get exposure to AWS, Snowflake, Airflow, dbt, Time Series & Graph Databases (Neo4j) . Collaborate with top-notch Data Scientists & Engineers and report to a Data Science Manager - your future career More ❯

intersection of technology, analytics, and manufacturing. Why This Role? Work with real-time IoT data from cutting-edge manufacturing equipment. Get exposure to AWS, Snowflake, Airflow, dbt, Time Series & Graph Databases (Neo4j) . Collaborate with top-notch Data Scientists & Engineers and report to a Data Science Manager - your future career More ❯

a solid understanding of statistical methods Proficiency in BI tools such as Power BI, Tableau, or Looker Experience with cloud-based data environments (BigQuery, Snowflake, AWS, or Azure) Excellent problem-solving abilities and a proactive, analytical mindset Strong communication skills in English; knowledge of Dutch or French is a plus More ❯

technologies. Skills and experience required: Minimum of 8+ years' experience in data engineering, with at least 3 years in a leadership capacity. Experience with Snowflake and Matillion preferred. Hands-on experience with large-scale real-time and batch data pipelines. Experience with Azure cloud platform, and security concepts i.e. Keyvault More ❯

meetings and yearly reviews with team members Strong background in hands on software engineering role (e.g., .NET engineer) Experience with MS SQL, Snowflake or equivalent SQL database technology Experience in Continuous Delivery (CI/CD) best practices Experience in applying appropriate automation testing tools and frameworks (Unit, Component, Integration, Feature More ❯

and verbal communication skills in English Working knowledge of some Vector Databases such as OpenSearch, Qdrant, Weaviate, LanceDB, etc. - an advantage Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage GCP or Azure knowledge (DevOps/MLOps) - an advantage ML certification (AWS ML Specialty or similar) - an advantage More ❯

The ideal candidate will have extensive experience migrating traditional data warehouse technologies, including Teradata, Oracle, BW, Hadoop to modern cloud data platforms like Databricks, Snowflake, Redshift, Bigquery, or Microsoft fabric. You will be responsible for leading data platform migrations and the design and development of scalable data solutions that support More ❯

engineering delivery cycle including Agile and DevOps, Git, APIs, Containers, Microservices and Data Pipelines. Experience working with one or more of Spark, Kafka, or Snowflake My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for More ❯

Database: Postgres Orchestration: Kubernetes Infrastructure: GCP/DCs/Terraform Networking: Wireguard, Tailscale, Palo Alto, F5 Telephony: Flex, Asterisk, Twilio Cache: Redis Data warehouse: Snowflake API layer: GraphQL Android frontend: Kotlin/Jetpack iOS frontend: Swift/SwiftUI Web frontend: TypeScript/React More ❯

Skills Experience in cyber insurance or cyber security. Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena) 100% medical coverage, including out-patient care Life insurance 25+ paid holidays Annual home office stipend Mental and physical health wellness programs like More ❯

in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which More ❯

in providing support to the business in their Data Science, AI, and ML initiatives. Our Data & Analytics technology stack consists primarily of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. We are currently engaged on multiple data focused projects which More ❯

interpretation. Excellent written and verbal communication skills and strong collaboration skills. Knowledge of SQL and experience with Python scripting. Familiarity with AWS services and Snowflake is a plus. Certification in Tableau Server Administration. A growth mindset with a willingness to adapt and continuously learn. Excellent collaboration skills to work with More ❯

SQL, Python, Snowflake, Tableau, Data Science, AWS, Agile Employment Type: Full Time Location: Hybrid (London) Position Roles Senior Data Scientist Who you are As a Senior Data Scientist, you will design and deliver scalable data products, drive pipeline implementation, ensure quality standards, and foster innovation. Collaborate cross-functionally, provide technical More ❯

to lead a high-impact delivery project in a hybrid working environment. Required Skills: Primary: Java (Spring Boot/Microservices) Kafka Azure DevOps SQL Snowflake Secondary: T24 (Temenos) Datadog AWS IntelliJ (Java & Automation Testing) JMeter PL/SQL What We're Looking For: Deep technical expertise in the tools listed More ❯

Experience in 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 Multi-language and multicultural environment Proactive More ❯