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Senior Data Engineer designing and building large-scale Spark-based data pipelines on AWS for analytics, ML, and reporting at Santander's Open Digital Services in Madrid.
Senior Data Engineer maintaining and evolving a corporate Data Lake framework on AWS, building batch and streaming pipelines with Spark, Python, Kafka, and SQL.
Builds and maintains scalable data pipelines using Modern Data Stack tools like Snowflake and dbt, optimizing data platforms for AI-driven projects and digital transformation.
Build and scale high-performance PySpark data pipelines on Databricks to power Lookiero’s personalized fashion-shopping platform, using Python, Delta Lake, and MLFlow.
Senior Data Engineer owning the design and operation of a Databricks/Delta Lake data platform (Medallion architecture) orchestrated via Azure Data Factory, feeding dynamic pricing models and BI in a high-volume retail context.
Designs and builds cloud-native data pipelines in Microsoft Azure (Fabric, Data Factory, Synapse) to enable scalable analytics and data-driven decisions, focusing on ingestion, modeling, storage, and orchestration.
Senior Data Scientist designing and implementing advanced analytics, predictive models, and Databricks dashboards to identify revenue leakage and recovery opportunities for the Defense Health Agency's RevOS initiative.
Senior Data Engineer designing and maintaining Databricks-based data pipelines using Python, SQL, and cloud platforms (Azure/AWS/GCP) for an AI/data consultancy's enterprise clients.
Data Engineering Senior Manager The Opportunity: Do you enjoy helping experienced engineers do their best work while shaping how a modern data engineering organization operates? As a Data Engineering Manager, you’ll…
Data Engineer building and modernizing cloud data pipelines on AWS using Databricks (PySpark, Delta Lake) and Informatica, with a focus on ETL/ELT, data migration from legacy systems, and medallion architecture.
The Senior Analyst will design, develop, and maintain software and data pipelines within the NAB Innovation Centre. The role focuses on data engineering, cloud-based solutions, and CI/CD practices using technologies like Python, SQL, Databricks, and AWS/Azure.
The Lead Data Engineer will manage and optimize the enterprise Databricks Lakehouse platform, focusing on performance tuning, data governance via Unity Catalog, and implementing AI-native operational workflows. The role involves designing scalable pipelines, mentoring engineering teams, and collaborating with vendors to ensure platform reliability and cost-efficiency.
The Senior Data Engineer will design and maintain scalable data pipelines and Lakehouse solutions using Databricks. The role focuses on performance tuning, cost optimization, data governance via Unity Catalog, and implementing AI-assisted automation for data operations.
The AI Data Platform Engineer will lead the architecture of enterprise data platforms, managing ingestion, storage, and processing layers. The role involves designing scalable data pipelines and governance frameworks using technologies like Snowflake, Databricks, Spark, and Kafka.
The Lead Software Engineer will design and optimize large-scale ETL data pipelines and cloud-native data solutions using Python, PySpark, and AWS. This role involves managing modern data lake architectures and Snowflake environments while championing engineering best practices and AI-assisted development within a financial services context.
Build large-scale Azure Data platforms, data models, and Delta Lake infrastructure underpinning Databricks AI platforms as a senior engineer on a fully remote team.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
Builds predictive models and data products to drive customer lifetime value (CLV) by developing churn/retention models, segmentation strategies, and personalized CRM campaigns. Owns end-to-end ML workflows, including feature engineering, validation, deployment, and production monitoring in Databricks, while collaborating with CRM, Marketing, and Merchandising teams.
Leads data architecture for MGM Resorts’ Marketing and Revenue Management, designing cloud-native, scalable platforms (Databricks/Delta Lake) to drive commercial analytics and governance while mentoring senior architects.
Lead Data Engineer building and optimizing ETL/data pipelines on Azure (Data Factory, Databricks, ADLS Gen2, Synapse) using Python/PySpark, while mentoring a team and ensuring data quality and governance.
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