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Leads architecture and engineering of a healthcare-focused data platform, building scalable pipelines, warehouses, and AI-driven analytics to support clinical and business insights in a remote-first environment.
Lead a team building scalable data infrastructure, ML systems, and analytics platforms in GCP/Snowflake to power AI-driven experiences and business insights across the org.
Designs enterprise data models and lakehouse architectures in Azure, focusing on scalable, performant structures like Delta Lake and Data Vault to support analytics and operational reporting.
Design and modernize enterprise-scale data warehouses for financial institutions, focusing on Teradata and Microsoft Azure ecosystems, while ensuring regulatory compliance and governance.
Build governed data models and semantic assets on Databricks to enable self-service analytics for business domains like finance, marketing, and HR.
Builds and maintains ETL pipelines and SQL Server data warehouses, with hands-on work in SSIS, T-SQL, and Snowflake.
Build and own VALR’s data platform: design scalable ELT pipelines, model analytics-ready datasets, and implement data quality/observability to power crypto exchange operations.
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.
Build and scale a cloud-native, multi-tenant data platform for the automotive industry, enabling real-time analytics and AI use cases across thousands of dealerships.
Lead the build of a cloud-scale data platform from ingestion to warehouse, designing real-time pipelines and AI-powered analytics for a global fintech trading platform.
Builds and maintains healthcare data pipelines, dimensional models, and semantic layers in Snowflake and BI tools to power trusted analytics and dashboards for clients.
Looking for an Analytics Engineer who wants ownership over reporting that actually gets used. This role owns the dbt-built data layer and Power BI semantic models behind commercial reporting - diagnosing issues,…
Designs and implements enterprise data models and architectures for T-Mobile’s consumer customer success systems, using Snowflake, Databricks, and Kafka to build scalable, real-time data pipelines.
Build and maintain dbt models and BI layers that turn raw Salesforce, Workday, and product data into trusted, self-serve datasets for Sales, Finance, Product, and Operations.
Build and maintain data pipelines with Estuary and dbt, write SQL and Python on Amazon Redshift to transform raw data into clean, tested datasets for analytics at Flutterwave.
Build and maintain Oracle Analytics Cloud dashboards and AI-driven reports using OAC, FDI, and Fusion data models to support enterprise decision-making.
Build cloud-native data pipelines and real-time streaming systems to power AI-driven denim production, supply-chain analytics, and global fashion retail dashboards using Python, SQL, Kafka, and Spark.
Senior Business Data Analyst bridges business needs and tech delivery, leading data analysis, requirements validation, and technical specifications for financial services data systems.
Designs and owns scalable data platforms for retail and downstream operations, using Databricks, AWS, Azure, Kafka, Airflow, dbt, SQL and Python to deliver governed, business-ready data products.
Senior data analyst building AI-powered supply chain planning tools and core analytics for Nordstrom’s omnichannel retail operations, using SQL, Python, and LLM systems.
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