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Design and build scalable AWS-based data pipelines, streaming platforms with Kafka, and containerized workloads using Kubernetes for a data mesh architecture.
Design and build cloud-based data pipelines and Lakehouse architectures using Azure Databricks, PySpark, Delta Lake, and Azure Data Factory to power analytics and reporting.
Builds and maintains cloud data pipelines using Azure Databricks, PySpark, and Delta Lake to power analytics and BI for enterprise clients.
Build and maintain end-to-end data pipelines in Microsoft Fabric, design Medallion Lakehouse layers, and create Power BI semantic models for business users.
Senior Data Analyst bridges business needs and data engineering, translating complex rules into technical specs, modeling data, and ensuring quality in cloud-based data platforms like Data Lake and Warehouse.
Senior Analytics Engineer designs scalable data models and ELT pipelines on cloud platforms (Snowflake, Databricks) using dbt, SQL, and Python to power AI-driven analytics for Fortune 500 clients.
Senior engineer builds and optimizes Zeta’s Scala-based data infrastructure, including Spark jobs and Hadoop clusters on AWS, to power AI-driven marketing analytics for enterprise clients.
Build and maintain BI solutions and data automation for sales analytics using Power BI, Snowflake SQL, and Microsoft Fabric to deliver executive insights and KPIs.
Salary: $100 p.h. + super Pearl Recruitment Group is seeking an experienced Data Engineer to support a major, nationally significant program in Western Australia. This position will help establish the core architecture…
Czym będziesz się zajmować? Responsibilities: Design, develop and maintain ETL and ELT pipelines for structured and semi structured data. Build and optimize lakehouse solutions for analytics, reporting and regulatory…
Leads a data engineering team to design scalable data pipelines, optimize cloud data warehouses (Snowflake/Redshift), and drive cross-functional collaboration for a healthcare platform connecting care networks. Focuses on architecture, team growth, and mitigating risks in regulated environments.
Build and deploy AI/LLM models and statistical analyses to extract insights from messy government data, then present findings to stakeholders and operationalize solutions on Azure AI Studio and Databricks.
Designs and commercializes end-to-end AI ecosystems, bridging infrastructure and AI Knowledge Layer to integrate models, data pipelines, and applications into scalable, global services using MaaS and Agentic AI frameworks.
Leads data governance and strategy for Platinum-level enterprise data sources, documenting specifications, metadata, and lineage in tools like Collibra to ensure trusted, discoverable data assets for business and analytics teams.
Senior role building scalable cloud data pipelines and warehouses on AWS to power analytics and BI for a global convenience-retail tech company.
Senior Software Engineer, Platform Department: Engineering Location: New York Employment Type: FullTime About the Role Join the platform team at a fast-growing, venture-backed AI data analytics startup building an…
Senior Software Engineer, Distributed Data Systems Department: Engineering Location: New York Employment Type: FullTime About the Role This is a rare greenfield opportunity to build the data platform for the agentic…
Lead the architecture of Honeywell’s enterprise AI platform across cloud, edge, and hybrid environments, defining standards for lakehouse, streaming, vector databases, and MLOps to scale real-time inference and agentic systems.
Builds and maintains BI reports, data warehouses, and ETL pipelines using SQL Server, Power BI, Tableau, and cloud tools to deliver analytics for a global furniture company.
Build and own a scalable test automation framework for Cloudera’s Anywhere Cloud, validating a distributed, multi-cluster control plane and API-first data/AI workloads running on Kubernetes.
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