51 to 75 of 532 Snowflake Jobs

large volumes of structured and unstructured data from diverse sources. Strong knowledge of SQL/NoSQL databases and cloud data warehouse technology such as Snowflake/Databricks/Redshift/BigQuery, including performance tuning and optimisation. Understanding of best practices for designing scalable and efficient data models, leveraging dbt for More ❯

the new environment, aligning with business objectives and compliance requirements. Relevant experience in Cloud Computing Platforms (knowledge of any or all of Azure, AWS, Snowflake and Google would be beneficial). Demonstratable interest and awareness in emerging technologies. Experience creating new propositions/assets/solutions and launching these to More ❯

Azure Cloud infrastructure, data stores connections, cloud functions concepts Experience in programming languages like Python, Java, or C# Experience in cloud data platforms like Snowflake, Databricks or Azure Synapse Good understanding of Data Modelling techniques Ideally, you'll also have Relevant academic background Participation in the opensource community Expertise in 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 ❯

will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake, Oracle, SQL, No-SQL). Conduct Code-Reviews, and Peer Reviews. Ability to assess logs. Ability to solve complex performance issues. Experience with ELK, and More ❯

will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake, Oracle, SQL, No-SQL). Conduct Code-Reviews, and Peer Reviews. Ability to assess logs. Ability to solve complex performance issues. Experience with ELK, and More ❯

will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake, Oracle, SQL, No-SQL). Conduct Code-Reviews, and Peer Reviews. Ability to assess logs. Ability to solve complex performance issues. Experience with ELK, and 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 ❯

Dimensional (Kimball) data modelling. • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL). Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake). • Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database. • MongoDB. • Cloud Data Technologies (Mainly More ❯

and Dimensional (Kimball) data modelling • Proficiency in SQL (T-SQL, PL/SQL, Databricks SQL) Desirable: • Databricks (or Alternative Modern Data Platform such as Snowflake) • Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this. • Oracle Database • MongoDB • Cloud Data Technologies (Mainly Azure More ❯

purposes. Prior experience working with Amazon Web Services is required. Prior UI experience with React or Node is a plus. Prior experience with the Snowflake Data Platform is a plus. 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 ❯

Tools Ab initio, GDE, Ab Initio Co Op Databases, Teradata Oracle 10g, 11g, Exadata, My SQL, SQL Server 2008, DB2 Cosmos DB, Hadoop, Hive, Snowflake Other tools Autosys Control, M Client ALM, Jenkins, IBM Udeploy GitHub WinSCP, MSVisio, AWS Services, Service Now, AUTOMIC AROW, Airflow Windows, Powershell Python, IDLE, Kafka More ❯

transformation tasks. Write and execute complex SQL queries for data modifications and transformations, including joining and updating tables. Load, process, and manage data in Snowflake and establish it as the system of record. Ensure proper data ingestion and create history tracking columns in RDS . Work within an AWS 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 ❯

Python Data scientists strictly use Python Helpful to have experience in Python due to its presence throughout the system Operational Database : Postgres Data Lake : Snowflake Messaging Systems : RabbitMQ, Kafka Cloud Platforms : Primarily AWS Part of the system runs in GCP AI and LMS : Using third-party AI as a service More ❯

data pipelines and doing transformation and ingestion in a a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling (ERwin, PowerDesigner More ❯

mentoring or supporting the development of team members. Azure SQL DB, Data Factory, Data Lake, Logic apps, Data Bricks (Spark SQL) and/or Snowflake experience is advantageous. 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 . We also offer: An employer More ❯

standups, sprint planning, and retrospectives. Stakeholder Interaction: Engage with stakeholders across all departments, including marketing, finance, legal, product, commercial, and operations. Technological Proficiency SQL (Snowflake data warehouse) and Python experience Git Tableau Visual Studio Code Amazon Web Services (S3, Lambda, Glue, API Gateway, Kinesis, IAM) Integrations (Email, SFTP, API, Webhooks More ❯

years), preferably in the energy sector. Right to work in the UK. Strong proficiency in SQL and database technologies (e.g., MS SQL, Snowflake). Hands-on experience with ETL/ELT tools such as Azure Data Factory, DBT, AWS Glue, etc. Proficiency in Power BI and Advanced Analytics for insightful More ❯

Experience with cloud platforms (AWS/Azure) Solid understanding of data architecture, modelling, and ETL/ELT pipelines Experience using tools like Databricks, Redshift, Snowflake, or similar Comfortable working with APIs, CLIs, and orchestration tools like Airflow Confident using Git and familiar with CI/CD processes (Azure DevOps or More ❯

Equity Derivative business. Cloud Technologies: Experience with cloud platforms like Azure or AWS. Cutting-Edge Tech: Familiarity with technologies such as Kafka, IBM MQ, Snowflake, or high-performance data caching solutions. Interview Process (3 Rounds) 1st Round Peer to Peer Coding 2nd and 3rd Round Technical Evaluations More ❯