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Experience in Real Time Data Ingestion using GCP PubSub, Kafka, Spark or similar. Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. We are seeking a skilled and experienced Data Engineer with expertise in Databricks, Azure, and Spark to join our dynamic team.
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Preferred] Experience with high speed distributed computing frameworks like FLINK, Apache Spark, Kafka Streams, etc. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS.
$91,000 a yearPart-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Minimum of 3 years of building and operationalizing large-scale enterprise data solutions using one or more third-party resources such as Pyspark, Talend, Matellion, Informatica or native utilities as Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache, Beam Composer, Big Table, Cloud BigQuery, Cloud PubSub etc.
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisSenior Data Engineer - Principal Associate (Spark, Scala, AWS) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Program, build models, and perform regression analyses using languages such as Excel, Stata, R, Python, SQL, or SAS; Our Competition economists provide economic analysis, advice, and expert witness testimony for mergers and acquisitions (M&As) and antitrust litigation in the US and worldwide to support our clients (e.g., government agencies, law firms, and corporations of all sizes.
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Some experience with cloud-based and on-prem data solutions (Apache Hadoop, Datastore, Firestore, Cloudera Data Platform, Big Query, Azure SQL, Cosmos DB, Red Shift, Apache Spark, ElastiCache, CloudSQL, Data Bricks, Snowflake, Apache Arrow, Apache Airflow, Flink.
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PMX has re-imagined Local Media, bringing together our Collective, Spark, Starcom, and Zenith agency brands. The Publicis Media Exchange activates across all local media channels too, including Television, Radio, Streaming Audio, and Digital Video (OTT/CTV/VOD.
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Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the world s best and most beloved brands and companies.
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Experience with ML frameworks and libraries (TensorFlow, Pytorch, Keras, Scikit-Learn, Spark MLib, Langchain etc.) An entrepreneurial and meticulous Senior Data Engineering / Machine Learning Ops Manager who oversees the development of data for measurement and reporting across United s digital media.
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Experience with the Databricks programming environment (Spark, Python, R) Experience with the Databricks programming environment (Spark, Python, R) Prior experience with large databases and data management methods are strongly desired, as well as experience with SQL, Python, SAS, and visualization tools such as Spotfire.
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Ability to communicate with a white glove approach to business teamsAdvanced skills with SQL, Power BI, Tableau, or Qlik. Intermediate proficiency with Python (Pandas, Polars, Spark) or R.Experience with Azure Cloud, PowerBI, and Databricks.
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You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads. You Have: 3+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for Data Engineering or Machine Learning workloads.
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PMX has a re-imagined Local Media bringing together our Collective, Spark, Starcom, and Zenith agency brands. Have an advanced knowledge of Microsoft Suite (specific attention to Excel and PPT), as well as experience with HMX, OX, Prisma SWAD and Tapscan.
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spark job Company: Intuit Inc in Chicago, IL
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