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Lead a team to design and build scalable data infrastructure and pipelines, transforming raw data into insights for PwC’s global clients using tools like Hadoop, Airflow, and cloud platforms.
The Data Engineer will design and build scalable data infrastructure, pipelines, and transformation solutions to support client analytics. The role involves using tools like Apache Airflow, Azure Data Factory, Snowflake, and Databricks to manage data workflows and ensure data quality.
Contract Senior Data Engineer building scalable big data pipelines and entity resolution solutions with Quantexa for a data consultancy's client engagements, using Spark, Python/Scala, and cloud platforms.
The Senior Data Engineer will design and maintain scalable batch and streaming data pipelines to support marketing and AI/ML initiatives for financial services clients. The role involves cloud-native architecture, data governance, and technical leadership within a hybrid-remote environment.
The Data Engineer will design and deploy modern data platforms on Google Cloud Platform, advising clients on architecture and cloud-native applications. The role involves technical leadership, mentoring junior staff, and ensuring high-quality, scalable data solutions.
In this AVP-level role, you will be responsible for designing, implementing, and maintaining automated testing frameworks for AI systems. You will validate model accuracy, data pipelines, and software integrations to…
Business Area: Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the…
Senior Data Platform Engineer on Clio's Security/Logging Engineering team, designing and building scalable logging infrastructure, high-throughput data pipelines, and ELK/OpenSearch deployments at petabyte scale using streaming and cloud-native technologies.
Senior Data Engineer at Bank of America building enterprise-scale data platforms and integration solutions using Spark/Scala, Kafka, Hadoop, Starburst, cloud technologies, and Informatica.
Designs and builds scalable data pipelines, ETL workflows, and warehouses to feed analytics and applications, using SQL, Python, and cloud tools.
Build and maintain scalable data pipelines and infrastructure to power analytics and compliance in a cloud-based big data environment.
Willing to work in shifts to provide rotational 24/7 shift application support duties as mentioned below. Has experience or knowledge on Incident and Problem management. Health check and monitoring production system…
Senior Data Engineer designing, developing, and maintaining ETL pipelines, data warehouses, and big data processing systems using SQL, Python, Spark, and Hadoop.
Data Scientist intern at P&G using big data and advanced analytics to advise business leaders, building algorithms and turning insights into recommendations with tools like Python, R, Spark, SQL, and deep learning frameworks.
Build and optimize high-traffic, real-time data services for Adobe Experience Platform using Java/Scala, Spark, and cloud-native tools to power personalized customer experiences.
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology - Consumer and…
This entry-level Data Science role for 2027 graduates involves designing and developing algorithms, performing exploratory data analysis, and collaborating with engineering teams to drive business value. Candidates will utilize big data tools and advanced analytics to provide actionable insights for P&G business leaders.
An internship applying advanced analytics and big data techniques to drive business insights for P&G’s consumer-focused products, focusing on algorithm design, model development, and collaboration with engineering teams.
The Data Engineer will design and maintain scalable data pipelines and visualization systems using the Elastic Stack, Kafka, and AWS to support DISA operations. The role involves integrating complex data sources, optimizing system performance, and ensuring compliance with DoD security standards.
Senior Business Systems Analyst acting as SME for the Global Wealth Management Data Hub, performing data mapping, profiling, quality, and ETL requirements using SQL, Kafka, APIs, and relational databases within RBC Wealth Management Technology.
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