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Two or more years Experience with Big Data on GCP - Dataproc, dataflow, Cloud Function, BigQuery, Composer, GKE, IA, etc. Deep hands-on experience with Spark, Hive, big data & open source technologies.
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Architect and optimize cloud-based data solutions on platforms such as AWS, Azure, and GCP. Leverage Databricks to enhance data engineering workflows, ensuring scalability and efficiency in handling big data environments.
$273,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Skills: azure data factory (adf),azure data engineering,python,big data technologies,databricks,azure,pyspark,sql. The ideal candidate will be proficient in tools and technologies like Pyspark, Azure Data Factory (ADF), Databricks, big data technologies, SQL, and Python.
$70,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Key Roles and Responsibilities: Uses Big Data programming languages and technology, writes code, completes programming and documentation, and performs testing and debugging of applications.
$237,400 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. We are seeking a highly skilled and motivated Senior Data Engineer (Infrastructure) to join our dynamic team at SiriusXM. As a Data Infrastructure Engineer, you will play a key role in designing, building, and maintaining robust, scalable, and secure data infrastructure used by our data professionals in order to fuel innovation, facilitate informed decision-making, and drive sustainable growth.
$171,175 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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As a Lead Data Engineer, you will work closely with the Data Architect and other stakeholders to understand their data needs and provide solutions to meet those needs. We are seeking a Lead Data Engineer to join our team of data experts.
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Sound experience in Google Cloud Data Services: Big Query, Data Proc, PubSub, Cloud Functions, Cloud Storage, Dataflow, Composer. Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It’s native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB, DataFlow and Vertex AI.
$236,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Senior Data Architect | Data Governance | Master Data Management | ETL | Data Warehouse | Solution Architecture | Big Data | OLAP | Data Modeling | Utilities.
$80 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
$235,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Airflow.
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Extract data from Teradata and Google BigQuery, creating derived datasets for KPI monitoring. Experience with pulling data from data warehouses like Teradata and BigQuery. The ideal candidate will extract and process data from Teradata, Google BigQuery, and other databases, delivering actionable insights.
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Under direct supervision, perform basic complexity calculations, modeling, and data analysis for water resources projects with a particular focus on riverine and coastal floodplain analyses though hydrologic and hydraulic modeling, risk assessment, and/or hazard mitigation.
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Preference will be given to candidates with experience in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.
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big data jobs Title: big software engineer Company: Apex Systems in Dallas, TX
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