126 to 150 of 723 Snowflake Jobs

Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.). Demonstrated experience in using Azure-based cloud applications, services and infrastructure or significant, transferrable experience with other Cloud Providers (e.g. 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 ❯

and modern data science toolkits (e.g. scikit-learn, XGBoost, statsmodels). Solid grasp of dbt for data transformation. Experience with modern cloud data stacks - Snowflake, BigQuery, Redshift, etc. Comfortable working in agile environments with tools like Git, Jupyter, Airflow. Domain & Business Experience 5+ years in applied data science roles. Proven More ❯

and Windows operating systems: security, configuration, and management Database design, setup, and administration (DBA) experience with Sybase, Oracle, or UDB Big data systems: Hadoop, Snowflake, NoSQL, HBase, HDFS, MapReduce Web and Mobile technologies, digital workflow tools Site reliability engineering and runtime operational tools (agent-based technologies) and processes (capacity, change More ❯

. • Proficiency in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google More ❯

daily with data engineers, analysts, product managers, architects, and other internal stakeholders. Tech Stack: 3+ Years Scripting with Python, PowerShell or Perl 3+ Years Snowflake, cloud platforms (AWS, Azure, GCP) Experience with Datawarehouse solutions and ELT/ETL Please apply with your updated cv to kimberley.kooner@primis-talent.com 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 ❯

in Python (Pandas, NumPy, PySpark). Experience building ETL/ELT processes. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Snowflake, Databricks). Understanding of data governance and regulatory compliance . Ability to work in a fast-paced, regulated environment . 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 ❯

modelling using tools such as Erwin, Power Designer, SQLDBM or Sparx EA. Minimum 10 years experience in using databases such as Oracle, SQL Server, Snowflake or any other OLTP and OLAP databases. Minimum 5 years experience with reporting tools: Power BI, Business Objects, Tableau or OBI. Understanding of Master Data More ❯

with ETL/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset More ❯

you will have the opportunity to utilise cutting edge data tools to design and implement robust data solutions. Required Skills/Experience: Exposure to Snowflake At least 2 years’ experience working with Azure data products MS SQL expertise (querying, transforming, and managing datasets) Python competency Proficient in version control tools More ❯

with ETL/ELT pipelines and database technologies like PostgreSQL and MongoDB Familiar with major cloud platforms and tools, ideally Amazon Web Services and Snowflake or BigQuery Solid understanding of data transformation, advanced analytics, and API-based data delivery Ability to work across departments with a collaborative, problem-solving mindset 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 ❯

Python is a bonus. Solid understanding of asset management is essential, particularly Fund Static, ABOR and trades data. Experience working with data warehouses (ideally Snowflake), and tools such as LucidCharts, MS Teams, Power Apps, and Azure DevOps. Strong stakeholder management and communication skills, with the ability to influence and engage 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 ❯

technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta More ❯

platforms (e.g., AWS, Azure, Google Cloud) and their data services, including data storage, processing, and machine learning capabilities. Big Data technologies: Spark, Big Query, Snowflake, Databricks, etc. Key Responsibilities: Collaborate with cross-functional teams to understand business needs and translate them into data science projects. Design, develop, and deploy machine More ❯

platforms (e.g., AWS, Azure, Google Cloud) and their data services, including data storage, processing, and machine learning capabilities. Big Data technologies: Spark, Big Query, Snowflake, Databricks, etc. Key Responsibilities: Collaborate with cross-functional teams to understand business needs and translate them into data science projects. Design, develop, and deploy machine More ❯