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The AWS Cloud Data Engineer will work in the Digital Solutions Center to manage data ingestion via Kafka and integrate plant systems. The role involves designing data loading chains and deploying cloud-based big data solutions on AWS in collaboration with the Milan team.
Design and build streaming and batch data pipelines on AWS (Kafka, Spark/Flink, S3 lakehouse) for Pirelli's manufacturing Data Platform, transitioning legacy systems to a data-driven architecture while supporting global production plants.
The Data & Integration Engineer will design and implement data flows, APIs, and pipelines to support GenAI initiatives. The role involves working with enterprise data platforms like Informatica and Cloudera to ensure reliable data movement and preparation for AI workflows.
Senior Manager in HPB's Data Engineering & Architecture team leading data governance, standards, consent management, and cross-agency partnership agreements for the National Lifestyle Repository platform.
The Senior Data Scientist will build and maintain AI-driven retrieval systems and knowledge layers to support rare disease research at the NIH. The role involves end-to-end development of data pipelines, semantic search, and user interfaces using Python, PostgreSQL, and LLM-based architectures.
Designs and delivers scalable, secure cloud solutions for government clients, focusing on AI/ML integrations, microservices, and real-time analytics using AWS, Kafka, OpenSearch, and Databricks.
Sr. Software Engineer building web apps and tools for a social media program at MacDill AFB, using Ruby on Rails or Django/Python on AWS (MySQL, Redshift) to support content workflows, analytics, and engagement tracking.
The Senior Software Engineer will develop and support web applications and data tools for a social media program, utilizing Ruby on Rails, Django, Python, and AWS cloud infrastructure. The role requires an active Secret security clearance and focuses on building scalable systems for content management, analytics, and metrics tracking.
Your work days are brighter here. We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and…
Senior Lead Software Engineer on J.P. Morgan's F&O Execution Data Team in London, building and maintaining scalable data pipelines and real-time streaming solutions using Java, Apache Kafka, Python, and AWS services.
Senior Data Engineer at a consultancy designing and maintaining data pipelines, ETL systems, and data models using SQL, Python, cloud infrastructure (Azure/AWS), and big data technologies like Spark and Kafka.
Design, build, and maintain cloud-based data pipelines for regulatory reporting (FATCA, CRS, PTR) using Python, PySpark, SQL, and AWS services like Glue and S3.
Provide superior operational support both on premise and in the Cloud Safeguard our client’s data Continuously monitor our environments to identify and implement operational improvement Ability to understand the code…
Data Engineer building cloud-based data pipelines and ingestion architectures using Python, SQL, PySpark, and Databricks at JLL's Toronto office.
Senior Data Engineer building scalable Snowflake-based data pipelines and warehouse solutions in the insurance sector, using AWS cloud services, Python, SQL, Java, and Scala on a 12-month hybrid contract in Toronto.
Data Engineer designing and building scalable cloud-based data pipelines, ETL processes, and data infrastructure using SQL, PySpark, and Databricks within JLL's Enterprise Data team.
Lead end-to-end data engineering projects for a media business, designing scalable data lakes, customer data platforms, and AI-powered analytics solutions using SQL, Apache Spark, and Python or Scala.
Senior Data Engineer designing and optimizing data ingestion, transformation, and orchestration pipelines using Apache Spark, Databricks, MongoDB, Delta Lake, Airflow, and Azure Data Factory on cloud environments.
Data Engineer designing and maintaining scalable ETL/ELT pipelines and large-scale data processing frameworks using Python, Pandas, and NumPy, with CI/CD, cloud (Azure), and production DevOps responsibilities.
The Senior Data Engineer will design and maintain scalable data pipelines and platforms using Databricks, Python, and SQL to support analytics and AI initiatives. The role involves collaborating with cross-functional teams to ensure high-performance data solutions in a cloud-based environment.
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