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Lead AI and data analytics projects for clients, designing scalable data warehousing, BI, and visualization solutions using tools like Snowflake, Tableau, and Power BI.
Design and lead the migration of an on-prem Teradata data warehouse to the cloud, author ETL pipelines in Informatica, and document quality controls for critical financial data.
About the organisation Your new company Join a large Federal Government organisation undertaking a significant uplift of its data and analytics capability. Working within a high‑profile program area, you will help…
Lead big-data engineering projects for financial-services clients, designing Hadoop-based pipelines, cleaning messy data, and delivering actionable insights using Java/Python and ETL tools.
Designs and maintains scalable data pipelines and platforms to support analytics and AI use cases using SQL, Python, and cloud services.
Build and maintain data pipelines to collect, clean, and transform raw data into insights for business decisions using SQL, Python, and cloud platforms.
# VP Technology ## Company Overview A rapidly growing AI-driven enterprise technology company focused on solving large-scale operational and decision-making challenges across industrial environments. ## Job Summary The…
Design and evangelize AI/ML solutions on Snowflake’s AI Data Cloud, partnering with customers and internal teams to scope POCs and drive technical wins using Python, LangChain, and generative AI techniques.
Builds and maintains backend services and frontend features for a data-access platform, using TypeScript/NestJS and Angular to streamline secure data discovery and approval workflows.
Build and optimize ETL pipelines in Snowflake and Python, write complex SQL/T-SQL, and maintain Teradata data solutions for retail/ecommerce systems.
Design and evangelize AI/ML solutions on Snowflake’s AI Data Cloud, partnering with customers and internal teams to scope POCs and drive technical wins.
Manages Oracle EBS Suite (versions 11i/R12) and cloud databases (AWS RDS/Azure), handling installations, upgrades, automation (Terraform/Ansible), performance tuning, and cross-platform DBA tasks (Oracle, SQL Server, MongoDB, etc.).
Build and maintain scalable data pipelines in BigQuery using Dataform/SQL, migrate enterprise data from Teradata, and own a Common Data Model hub to ensure consistent KPIs and trusted data across teams.
Senior data analytics consultant builds client-facing analytics solutions, designs SQL-based pipelines, and creates dashboards to track marketing campaigns and business metrics for Fortune 500 clients.
Design and build cloud-based data pipelines and ETL workflows using Spark, Kafka, and cloud platforms to support analytics and reporting for a financial-services company.
Software Development Engineer in Test (SDET V) Production Support Automation Strategy & AI Quality Engineering Position Summary The Software Development Engineer in Test (SDET V) serves as the senior technical…
Build and evaluate ML models in the cloud, analyze large datasets, and collaborate with a data team using Python, SQL, and Teradata/BigQuery.
Build and deploy LLM-powered systems to modernize large-scale data warehouses, automating SQL/Spark/Flink pipelines and validating transformations in production environments.
Builds and optimizes cloud data warehouses on GCP, migrating Teradata workloads to BigQuery and writing ETL scripts with BTEQ/TPT.
Build and maintain cloud-based data pipelines using Databricks, PySpark, and Azure Synapse to feed AI forecasting models for a finance client.
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