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Build and optimize a company-wide Data Lakehouse using Spark, Iceberg, and Hadoop to centralize B2C data, focusing on high-load batch and streaming pipelines.
Design, build, and maintain scalable ETL/ELT data pipelines to transform raw data into insights for analytics/business teams, using Python, SQL, and tools like Airflow/Prefect/Dagster in a cloud data stack (Snowflake/BigQuery/AWS Redshift/Databricks).
Builds and maintains robust data pipelines in Scala/Spark for a legal domain, optimizing SQL and Spark jobs while ensuring data integrity and collaborating with DevOps for CI/CD.
The Wix Code Infrastructure team is looking for a backend engineer to build and maintain serverless platforms and scalable infrastructure. You will work on distributed systems and microservices to enable users to build complex web applications.
Senior Test Manager/QA lead to lead QA efforts in an Agile Release Train for a home journey project at Nordea. The position involves managing QA and test management for functional and non-functional testing across multiple scrum teams, driving test automation, and ensuring quality metrics for sign-offs. Core technologies include Java, Kafka, C#, Weblogic, SQL, mainframe (Cobol, ASP), Selenium, Cyp
Builds scalable, AI-powered customer engagement services in Scala/Java, working with Elasticsearch, Postgres, and AWS to power Iterable’s marketing automation platform.
Designs and builds scalable Big Data/Analytics platforms in cloud environments, develops data pipelines, ensures data quality, and supports AI/ML model deployment for business analytics and AI applications.
The Principal Data Engineer will design and build scalable Big Data, analytics, and AI platforms while leading engineering projects and client communication. The role involves operationalizing AI models and mentoring teams using cloud-native technologies like Spark, Kafka, and various IaC tools.
Senior Data Engineer developing scalable data warehouse architecture and performant data models for Prime Video's analytical ecosystem, working with large datasets on AWS cloud technologies like Spectrum and Redshift for ETL processing.
Leads data engineering efforts for Amazon Pay, building high-performance data pipelines and supporting ad-hoc data access using SQL, Redshift, Python, and Spark.
Staff engineer designing and building large-scale distributed infrastructure and platforms at LinkedIn's Bengaluru office, using Java, Python, Go, or Scala on systems like Kafka, Kubernetes, and data storage platforms.
What is the opportunity? Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative…
Designs and delivers mission-critical data services for National Security clients, building robust data pipelines using Python, Apache Spark, NiFi, and cloud technologies to process diverse data sources at scale.
NATURE OF POSITION: AI Fire is seeking a skilled and driven Data Engineer to design, develop, and maintain scalable data warehouse solutions and migration of data from a variety of small business ERP platforms into our…
Leonardo S.p.A. è alla ricerca di un Data Analyst per le sedi di Roma Laurentina e Catania. La risorsa analizzerà grandi volumi di dati, progetterà pipeline di elaborazione batch e streaming e collaborerà con i team di…
Google Cloud Data Engineer responsible for implementing batch/real-time data pipelines on GCP, transforming and processing structured and unstructured data, and working with Data Scientists to integrate ML models. Core technologies include Google Cloud Platform services like DataFlow, BigQuery, and various programming languages.
Cloud Data Engineer at BIP's xTech center building and managing Big Data/cloud platforms, implementing batch and real-time data pipelines, optimizing ML models for scalable execution, and providing technology advisory to clients.
Martech Data Engineer responsible for implementing batch and real-time data pipelines on Google Cloud, transforming and processing structured and unstructured data for marketing tech applications, using technologies like Scala for distributed processing and working with tools like Google Analytics and Tag Manager.
Support multinational clients by designing and implementing DevOps pipelines, automating infrastructure, and integrating cloud-native solutions using tools like Terraform and CI/CD platforms.
Designs and implements DevOps methodologies, CI/CD pipelines, and infrastructure automation for multinational clients, bridging technical solutions with business needs in enterprise environments.
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