data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide More ❯
data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake, and MLflow. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of More ❯
data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake, and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Benefits At Databricks, we strive to provide comprehensive More ❯
data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive More ❯
Experience in building machine learning models for business applications - Experience in applied research PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy, etc. - Experience in implementing Computer Vision algorithms. Posted: February 26, 2025 (Updated 2 days ago) Posted: March More ❯
Work on building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization, and search. Work on Big Data technologies such as AWS, Spark, Hive, Lucene/SOLR, Elasticsearch, etc. Drive appropriate technology choices for the business, lead continuous innovation, and shape the future of India Advertising. Follow More ❯
and equity financing to mid-market and late-stage companies. Liquidity is backed by leading global financial institutions including Japan’s largest bank, MUFG, Spark Capital, and KeyBank Asset Management. Liquidity offers a dynamic and fast-paced work environment. With an open-door policy and a commitment to high More ❯
and equity financing to mid-market and late-stage companies. Liquidity is backed by leading global financial institutions including Japan’s largest bank, MUFG, Spark Capital, and KeyBank Asset Management. Liquidity offers a dynamic and fast-paced work environment. With an open-door policy and a commitment to high More ❯
Connected Plant, Emerson Plantweb/AMS, GE/Meridum APM, Aveva, Bentley, and OSIsoft PI Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning Savvy at helping customers create business cases with quantified ROI to justify new investments Experience More ❯
Cassandra). • In-depth knowledge of data warehousing concepts and tools (e.g., Redshift, Snowflake, Google BigQuery). • Experience with big data platforms (e.g., Hadoop, Spark, Kafka). • Familiarity with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud). • Expertise in ETL tools and processes (e.g., ApacheMore ❯
a Data Engineer II, you should be an expert with data lake fundamentals around storage, compute, etc., familiar with multiple data processing stacks like Spark, and core data concepts (e.g. Data Modeling). You should have deep understanding of the architecture for enterprise level data lake/mesh solutions … systems as it pertains to data storage and computing Experience with Redshift, Oracle, NoSQL etc. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Bachelor's degree PREFERRED QUALIFICATIONS Experience working on and delivering end to end projects independently Experience providing technical leadership and mentoring other engineers More ❯
have experience architecting data pipelines and are self-sufficient in getting the data you need to build and evaluate models, using tools like Dataflow, Apache Beam, or Spark You care about agile software processes, data-driven development, reliability, and disciplined experimentation You have experience and passion for fostering … Platform is a plus Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam/Spark is a plus Where You'll Be This role is based in London (UK) We offer you the flexibility to More ❯
world architectures that business engineering teams buy into and build their applications around. Required Qualifications, Capabilities, and Skills: Experience across the data lifecycle with Spark-based frameworks for end-to-end ETL, ELT & reporting solutions using key components like Spark SQL & Spark Streaming. Strong knowledge of multi … fantastic end-to-end engineering experience supported by excellent tooling and automation. Preferred Qualifications, Capabilities, and Skills: Good understanding of the Big Data stack (Spark/Iceberg). Ability to learn new technologies and patterns on the job and apply them effectively. Good understanding of established patterns, such as More ❯
TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and More ❯
TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data processing. Experience designing and orchestrating data pipelines with tools like Apache Airflow, Spark, or Kafka. Strong understanding of SQL, NoSQL, and data modeling. Familiarity with cloud platforms (AWS, Azure, GCP) for deploying ML and More ❯
MiFID II or EMIR Experience building real-time applications based on a messaging paradigm Experience building large-scale data processing pipelines (for e.g. using ApacheSpark, etc) Experience building Highly Available and High Performance applications Experience of FIX messaging protocol FX Options/Derivatives experience Senior Python Developer More ❯
MiFID II or EMIR Experience building real-time applications based on a messaging paradigm Experience building large-scale data processing pipelines (for e.g. using ApacheSpark, etc) Experience building Highly Available and High Performance applications Experience of FIX messaging protocol FX Options/Derivatives experience Senior Python Developer More ❯
data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive More ❯
data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of More ❯
data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, ApacheSpark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter ,LinkedIn and Facebook . Benefits At Databricks, we strive to provide More ❯
science/quantitative modeling to real world, financial use cases. Knowledge of open-source technologies and platforms commonly used for data analysis (e.g., Hadoop, Spark, etc.). More ❯
conferences or journals - 3+ years of hands-on predictive modeling and large data analysis experience - Experience working with large-scale distributed systems such as Spark, Sagemaker or similar frameworks Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on More ❯
production issues. What We Value Experience with monitoring systems using tools like Prometheus and writing health checks Interest in learning and managing technologies like Spark, Hadoop, Elasticsearch, and Cassandra Familiarity with deploying GPUs Moderate experience with TCP/IP networking Ability to work independently with minimal supervision Ability to More ❯
Data Engineering: Proficiency in developing and maintaining real-time data pipelines. Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment: Experience deploying and maintaining ML inference pipelines. Proficiency with Docker and Kubernetes. Familiarity with AWS cloud platform. More ❯
Data Engineering: Proficiency in developing and maintaining real-time data pipelines. Experience with ETL processes, Python, and SQL. Familiarity with big data technologies like Apache Hadoop and Apache Spark. MLOps & Deployment: Experience deploying and maintaining ML inference pipelines. Proficiency with Docker and Kubernetes. Familiarity with AWS cloud platform. More ❯
