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Line of Service Advisory Industry/Sector Not Applicable Specialism Technology Strategy Management Level Manager Job Description & Summary At PwC, our people in Cloud, Data and AI focus on leveraging data to drive…
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.
Design and build dashboards in Tableau/Power BI to analyze customer contact trends using Amazon Connect data, transforming raw interactions into actionable insights for Barclays' performance and customer outcomes.
Lead Data Engineer on the Customer 360 Data Product, responsible for designing data integration pipelines, building scalable cloud data capabilities, and governing data products across the Customer & Sales domain.
Senior Data Engineer building and optimizing data products and ETL pipelines on AWS and Snowflake to fuel analytical models for Sun Life's Client Experience Office in Toronto.
Senior Business Analyst acting as a subject matter expert on Army logistics ERP systems, translating business needs into actionable technology solutions using SQL, Python, and data analysis tools to support the Army Logistics enterprise.
Senior Data Scientist building end-to-end traditional ML and advanced analytics solutions—forecasting, optimization, clustering, regression, and recommendation systems—using Python, PySpark, SQL, and Databricks on large-scale datasets.
Design, build, and maintain scalable data ingestion and transformation pipelines using Databricks, Python, PySpark, and SQL in cloud environments to support analytics and AI initiatives.
Builds and maintains ML pipelines and data infrastructure for a large Mexican bank, focusing on scalable analytics and automation using Python, PySpark, and big-data tooling.
Аналитик данных в Сбербанке исследует банковские сервисы для юридических лиц, используя SQL/Python/PySpark и Hadoop/Spark, чтобы выявлять закономерности и улучшать клиентский опыт. Разрабатывает скрипты для анализа данных и взаимодействует с бизнес-заказчиками для решения задач Ad-hoc.
The Consulting Data Architect designs and delivers Microsoft Fabric and Generative AI solutions for clients, acting as a technical advisor to lead implementation and strategy. The role involves building data architectures, AI-enabled patterns, and proofs of concept while ensuring robust data governance and security.
As a Senior Data Engineer at Vivicta, you will work as a consultant to design and implement modern, scalable data platforms using Microsoft Fabric, Databricks, or Snowflake. You will build data pipelines, manage data transformations, and support analytics and AI initiatives while collaborating with clients on technical architecture.
Senior Data Engineer building scalable data platforms, ETL/ELT pipelines, and data lakes on Azure and AWS using PySpark, Databricks, and Apache Spark.
The Machine Learning Engineer will design and scale distributed data pipelines for processing large-scale video and multimodal data for model training. The role involves managing cloud infrastructure, implementing curation workflows, and optimizing data quality using Python, Kubernetes, and various media processing tools.
Design, develop, and maintain scalable ETL data pipelines on Databricks and Azure, integrating diverse data sources to support analytics, reporting, and ML while ensuring governance and reliability.
The Software Consultant (Data Engineer) designs and maintains scalable data pipelines and ETL workflows on AWS using PySpark, Python, and serverless technologies. The role involves infrastructure management via Terraform and collaboration with stakeholders to support data modernization and governance initiatives.
Data Scientist building end-to-end ML models and production data pipelines in Databricks (Python, PySpark, SQL) to power hyper-personalized CRM campaigns, churn reduction, and CLV prediction for a retail beauty company.
Senior Manager – Customer Analytics (Corporate) About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling…
The Data Scientist will build and deploy predictive models and data pipelines in Databricks to drive customer lifetime value and personalization strategies. This role involves end-to-end ownership of machine learning projects, from feature engineering to production monitoring, while collaborating with marketing and CRM teams.
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