generation of LLMs? Fluent in Python, R, and SQL, with hands-on experience working across large structured and unstructured

ingestion and integration pipelines Working hands-on across Python, PySpark and SQL Making decisions around batch, incremental..., including Delta Lake, Unity Catalog, Workflows and DLT/Lakeflow Advanced SQL and Python/PySpark Strong ingestion

development of software for the security/defence sectors. Experience working with or knowledge of SQL databases. Knowledge

Server, MS Office 365 services skills and experience Microsoft Certification , SQL Server , Linux, Network troubleshooting

platforms would be advantageous but is not essential Comfortable using tools such as Excel, Looker, Tableau, Power BI, SQL

into practical insight and recommendations Experience using analytical and programming tools such as Python, SQL, Excel or VBA

. You'll have strong technical skills in Power BI, SQL and Excel, with experience developing reports, dashboards and data

, including interfaces, batch jobs, message queues and ISA-95 data flows. Practical troubleshooting capability using SQL

. SQL knowledge (advantageous but not essential). Basic networking knowledge (TCP/IP, DNS, DHCP, VPN). Scripting

documentation Required Skills 1-2+ years of Full Stack Engineering experience Strong Python and SQL skills AWS and/or Azure

: Basic knowledge of programming languages such as SQL, Python or R. Our purpose is to deliver excellent investment

everything listed below, but exposure to any of the following would be valuable: SQL Server, MySQL or SQL scripting REST or SOAP APIs

of reporting tools; Experience of SQL; Experience of higher education fundraising and engagement. We value transferable skills

Environment You will work with a modern and evolving technology stack, including: SQL-based data platforms (e.g., SQL Server... Looking For 3+ years of professional experience working in data analytics or a related field Demonstrated proficiency in SQL

using SQL or similar query tools. Knowledge of KPI reporting, performance monitoring and continuous improvement techniques

, but not essential). Experience in Python / SQL or Alteryx (preferred, but not essential). Conduct Rules You must: Act

services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency in English

and building scalable data pipelines using Python and SQL Developing solutions with Snowflake, dbt and modern orchestration tools... and SQL experience Experience with Snowflake Experience using dbt Experience with Dagster, Airflow or another modern

Microsoft SQL Server, PostgreSQL or Oracle) Personal Skills and Competences: Experience of managing multiple customer

Liquid. Experience using SQL and other analytical tools (Looker, GA, MixPanel etc.) Experience using Braze or similar