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Experience with building modular, extendable, and distributed systems eg Apache Kafka, Hazlecast, Kubernetes, Microservices Architecture, Apache Hadoop, Elasticsearch, Apache Cassandra, OpenStack, Service Meshes (e.g., Istio), or Apache Mesos.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
$130 - $140,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement and maintain data synchronization between on-premises Oracle databases and Snowflake using Kafka and CDC tools. Data Integration Tools: Proficiency in using Kafka and CDC tools for data ingestion and synchronization.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year of experience in big data technologies.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlowExperience building and managing production-grade data platforms using distributed systems such as Kafka, Spark, Flink and/or others.
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Strong Knowledge in Big Data Technologies, Databricks, AWS Services, PySpark, thorough in one or more programming language like Python. We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.
$118,450 - $267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with software/programming languages and tools with key analytic applications and data visualization tools (SAS, R, MySQL, PL/SQL, Oracle, UNIX, OLAP, Tableau, Hadoop, Cognos, QlikView, MS Power BI, Hive, Impala.
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These systems will include movement monitoring of structures utilizing automated motorized total stations, vibration and noise monitors, online data visualization, and geotechnical downhole instrumentation such as inclinometers, observation wells, vibrating wire piezometers, and borehole extensometers.
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Experience working with Hadoop/Big Data and Distributed Systems. Required Skills: Hadoop - On prem Experience, SQL strong, HDFS/Hive, Data Ingestion, Data Lakes.
$65 - $80 an hourFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience working for Top 10 Accounting or other Systems Integrator Services firms (Cognizant, TCS, Infosys, Capgemini, etc ) with a focus on Data, finance, ERP and/or digital solutions a significant plus.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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You Have: 8+ years of experience in batch and streaming ETL using Spark, Python, Java, Snowflake or Databricks for Data Engineering or Machine Learning workloads. 5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, etc 3+ years of experience prepping structured and unstructured data for data science models.
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Familiarity with other VDC technologies such as Bluebeam, laser scanning, drone flying, Sketchup Pro and AR/VR is a big plus. Familiarity with other VDC technologies such as Bluebeam, laser scanning, drone flying, Sketchup Pro and AR/VR is a big plus.
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Basic knowledge of OSHA, CERCLA and remedial design Experience with Phase I/II Environmental Site Assessments and/or site investigations, collecting soil and groundwater samples, logging soil borings, installing and developing monitoring wells, data analysis is a plus.
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hadoop kafka big data plus jobs in Chicago, IL
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