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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
$201,400 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. As a Senior Machine Learning Engineer, you will work on building AI/ML solutions across a wide range of business applications.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Advanced knowledge of Apache Spark, Azure Data Factory, Azure DevOps, Azure Machine Learning, Hadoop, Hive (Apache), Informatica, Microsoft Azure, Databricks, Microsoft Power BI, Microsoft SharePoint, Microsoft SQL Server, MS Office Products or Operational Data Integration (OLTP.
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Strong proficiency in multiple programming languages, frameworks, and technologies, specifically Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and BigQuery.
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Proficiency in data engineering tools and technologies such as Apache Airflow, Spark, Kafka, Hadoop, or similar. - Implement automated data pipelines using tools like Apache Airflow, Spark, Kafka, or similar technologies, ensuring data is processed efficiently and accurately.
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Examples include MPP data warehouses like Snowflake and Amazon Redshift and all-in-one Apache Spark platforms like Databricks. Examples include Azure Machine Learning Studio, Google’s Vertex AI, IBM Watson Studio, Amazon SageMaker and open-source tools like Kubeflow.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Job Title: ETL Ab Initio Data Validation Engineer (SDET) Primary skills: Ab Initio, Pyspark, Hive Iceberg on Azure Datalake (ADLS) or Iceberg on Snowflake Database and OS: Oracle, DB2, SQL, Data Warehousing, Linux About the job We are seeking a highly skilled ETL Ab Initio Validation Engineer with expertise in Ab Initio and Snowflake or Azure Datalake to join our dynamic team within our organization.
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Knowledge of AWS Machine Learning Offerings will be a plus Experience with any Data Visualization tools will be a plus Applicable to all employees of Globe Life & Accident and its subsidiaries: Reliable and predictable attendance of your assigned shift Ability to work full time and/or part time based on the position specifications.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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Fidelity's Financial Intelligence Unit (FIU) is seeking a motivated Squad Leader/Product Owner with a passion for building business critical Fraud Prevention capability, using a range of data science, machine learning, software and data management technologies and tools.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
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Ever-expanding technology like IoT, machine learning, and artificial intelligence means more structured and unstructured data is available today than ever before. 5+ years of experience with Distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
machine learning apache spark python sql data engineer jobs Company: Fidelity Investments
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