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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.
This role involves architecting and building high-performance data pipelines and intelligent APIs to process massive-scale market risk analytics. The developer will work with Apache Spark, OLAP engines, and NLP to provide actionable insights for senior stakeholders in the financial sector.
This role is a senior data engineering leadership position responsible for architecting and managing large-scale, high-throughput batch and real-time data pipelines. The candidate will lead a global team while utilizing technologies such as Apache Spark, Databricks, Scala, and Python to build robust data platforms.
Senior Quality Analyst architecting and maintaining automated testing frameworks for scientific data products built with Java/Scala/React, collaborating with global teams at a major research publisher.
EXCLUSIVE NETWORKS | Introductie Exclusive Networks is de wereldwijde specialist op het gebied van cybersecurity go-to-market, die partners en eindklanten een breed scala aan diensten en productportfolio's biedt.…
Gemotiveerde Servicemonteur voor de regio: Nijmegen, Gorinchem ,Nieuwegein Wat ga je doen? Na een degelijke inwerkperiode ben je verantwoordelijk voor servicewerkzaamheden aan professionele schoonmaakmachines bij…
Data Engineer at Barclays building and maintaining scalable ETL/ELT data pipelines, data warehouses, and data lakes in cloud environments, using SQL and modern data platforms.
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…
The Lead Software Engineer will design, build, and maintain scalable data-intensive services and applications for financial indices using Python and AWS. This hands-on role involves leading technical architecture, mentoring team members, and ensuring high-quality software delivery through modern engineering practices.
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.
Senior Data Engineer building and maintaining scalable data pipelines on AWS (Databricks, Airflow, Step Functions, Glue, Redshift, S3) using Python, PySpark, and SQL within Toyota's Supply Chain fusion teams.
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.
The Senior Software Developer will lead a team in designing and delivering mission-critical sonar tactical decision aids for the U.S. Navy. The role involves using Java, Scala, React, and other modern technologies within an agile environment to support national security initiatives.
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.
Design, build, and maintain scalable cloud-based data platforms on AWS/Azure for analytics, ML, and enterprise data needs, working with Snowflake, Databricks, Spark, Airflow, dbt, and Kafka.
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