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Job Summary: We are seeking a talented and experienced Software Engineer to join our team at JLL. As a Software Engineer, you will be responsible for designing, developing, and maintaining software solutions that leverage Azure, Databricks, Azure Kubernetes, Microservices, and Data Pipeline using PySpark.
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Apache Spark : Develop the de facto open source standard framework for big data. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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Job Description Data Engineer (SS&C Technologies, Inc.; San Francisco, CA): The Data Engineer will: Create a leading cloud platform with the latest big data, cloud native and machine learning technologies.
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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
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As a Senior DevOps engineer, you will play a crucial role in ensuring the ESP software product teams (primarily focused on the Pattern in-house WIS:dom for big data across weather, energy pricing, and geospatial data.
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Experience with big data technologies such as Hadoop, Spark, or cloud-based platforms like AWS, Google Cloud, or Azure. We are seeking a talented and experienced AI ML Engineer to join our team and play a pivotal role in designing AI-ML solutions that unlock the power of data.
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Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic way. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Preferred qualificationsHave experience in Java, Scala (Spark), or RubyExperiences with big-data technologies such as Spark, Presto, Kafka, and Flink, and OLAP preferredNote that It’s not expected that any single candidate would have expertise across all of these areas.
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As we partner with Oracle Cloud engineering teams, you will participate in advancement and early adoption of cutting edge OCI Big Data, data lake and data warehouse services and products.
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Insightful experience with big data technologies like Hadoop, real-time processing frameworks (e.g., Apache Spark), and advanced knowledge of SQL and data architecture. For example, reconciliation using Big Data technologies, growing and optimizing customer payments options, tax calculations in milli-second response times and a mesh of supplier payment options like virtual credit cards.
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You will work on challenging technical challenges like distributed systems and big data technologies. The team owns the analytics, customizable workflows, data platform, reporting, permissions, and custom fields products.
$236,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Product Engineer, you will support data-driven approaches to conduct experiments or iterate features, while ensuring that the software we write will last and scale. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland.
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Experience with big data technologies such as Hadoop, Spark, or Kafka. Experience with data processing tools like Pandas and NumPy, and data visualization tools such as Matplotlib or Seaborn.
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Proficiency in SQL and familiarity with big data technologies such as Hive, Presto, Glue, (Py)Spark, or Athena. As a ML Engineer in e-commerce, you will support the design, analysis, and delivery of data-driven solutions to business challenges.
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Dbt and Snowflake experience are a big plus. Partnering with the data infrastructure engineering team to understand and help evolve and maintain our data warehouse and the ELT that feeds it.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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