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Designs and builds scalable data platforms using Microsoft Fabric, Azure Databricks, and Spark to enable analytics, reporting, and AI-driven decision-making in a fintech environment.
Design and implement scalable data platforms using Databricks Lakehouse, lead ETL modernization from Informatica to Databricks, and architect batch and real-time pipelines on cloud platforms using Spark, PySpark, SQL, and Delta Lake.
The Staff Data Engineer will design and manage enterprise data architecture and pipelines using Azure Databricks, Power BI, and containerized solutions. This role focuses on optimizing data infrastructure, governance, and self-service analytics within the bank's Investor and Treasury Services division.
Design and maintain data solutions in Microsoft Fabric, building architectures with OneLake, Lakehouse, Data Warehouse and Data Factory, implementing Medallion architecture and star models using PySpark, T-SQL, and Delta Lake.
The Senior Big Data Engineer will design and maintain scalable batch and streaming ETL pipelines on the Databricks Lakehouse platform within Azure environments. The role involves optimizing data processing, implementing data governance with Unity Catalog, and collaborating with stakeholders to deliver production-ready data solutions.
Build and maintain a marketing analytics platform by integrating data sources, ensuring quality, and automating pipelines using Azure Databricks, PySpark, and Power BI.
The Data Engineer will design, implement, and maintain scalable data pipelines and ETL processes within Azure and Databricks environments. The role involves collaborating with cross-functional teams to build big data solutions and ensure high-quality data standards.
Data Engineer responsible for planning, developing, and maintaining cloud data environments for clients, focusing on Azure Data Factory and Databricks pipelines.
The Lead Data Engineer will guide a team in migrating legacy Python/Spark ETL pipelines to dbt Core models on Databricks. This role involves hands-on technical leadership, designing scalable data models, and establishing CI/CD workflows for a large-scale platform modernization initiative.
About Us At Blue Margin, we’re on a mission to build the go-to data platform for PE-backed mid-market companies. We provide hosted data platforms that help executives and operators turn data into a strategic advantage.…
Senior Business System Analyst (BSA) acting as a bridge between business stakeholders and technical teams, focusing on data and analytics with Databricks. Responsible for gathering requirements, defining specifications, and ensuring successful implementation of data solutions.
The Data Architect will define and govern data architecture across a hybrid estate of AWS, GCP, and on-premises systems, focusing on optimizing data flows and designing scalable AI/ML infrastructure. The role involves setting enterprise standards, ensuring design assurance for projects, and representing data architecture at the Technical Design Authority.
The Data Platform Engineer will build and maintain modern data platforms, focusing on pipelines, processing, orchestration, and infrastructure. The role involves working with open-source technologies like Python, SQL, Kubernetes, and various data processing engines to deliver scalable data solutions.
Senior Data Platform Engineer advises clients on modern data platforms, designs scalable architectures, and builds robust open-source solutions with Python/SQL, Spark, Kafka, and Kubernetes. Focuses on governance, performance, and hands-on engineering for enterprise clients.
The Senior Data Architect will lead the design and evolution of scalable, secure data architectures for CI&T's internal data platform. The role involves hands-on work with Databricks, Spark, and cloud infrastructure to support data-driven products and AI initiatives.
The Senior Platform Engineer will design and scale the AUMOVIO data platform using Databricks and AWS. This role involves building self-service infrastructure, implementing data governance, and supporting AI/ML workflows within a data mesh architecture.
ABOUT OUR CLIENT Our client is a leading enterprise data platform company building an open, high-performance data lakehouse for AI and analytical workloads. The platform combines an intelligent SQL query engine, an…
The Senior Data Engineer will lead data engineering activities, designing and developing scalable data pipelines and Kimball-modeled repositories using the Azure stack. The role involves managing a team, ensuring data quality, and implementing DevOps practices to support business intelligence and AI initiatives.
Build and maintain scalable data pipelines on Databricks and Azure SQL Server using PySpark and ELT, enabling standardized reporting and data management for a veterinary care group.
Senior Software Engineer on Google Cloud Dataproc, enhancing Apache Spark and Lake House technologies (Iceberg, Hudi, Delta Lake) for performance, reliability, and security on large-scale distributed systems.
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