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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
$33 - $49.6 an hourFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The main responsibility includes supporting research operations for our entire institute, mostly using the Python data science stack (e.g. Pandas) and SQL. You will be expected to work with our research and data science team on a variety of tasks, from maintaining and expanding our ETL pipeline, written in Python and Pandas, to querying our Epic Clarity data warehouse, to conducting routine statistical analysis.
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The Data Engineer is a key member of WellNow’s Data Operations team. Consume and process data from a variety of sources (RDBMS, APIs, FTPs and other cloud storage systems) and file formats (Excel, CSV, XML, JSON, Parquet.
$110,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We use Apache Airflow, Python, and Apache Spark for ETL. For streaming data, we use Apache Kafka managed by a vendor and use Kafka Connect, Kafka Streams, and Spark Streaming for stream processing.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. We are looking for a Senior Data Engineer to help us continue to build the next evolution of our data platform in a scalable, performant, and customer-centric architecture.
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Ideally knowledge of GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark.
$130,000 - $220,000 a yearExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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Design, build and automate data pipelines to implement analytical and predictive models using Python Pandas, Numpy, PyMongo, Bash scripts, and Airflow. Conduct Exploratory Data Analysis to uncover underlying patterns, test business assumptions, generate hypotheses for further analysis using Python PySpark, Matplotlib, Seaborn, MongoDB Charts, and Palantir.
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Design, develop, and maintain data infrastructure using Snowflake, Airflow, FiveTran, and DBT to support scalable and reliable data pipelines. Experience with data infrastructure tools such as Snowflake, Airflow, FiveTran, and DBT.
Full-timeExpandUpdated 15 days ago - UpvoteDownvoteShare Job
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To learn more about the Crime Lab and Education Lab, visit The Role: The University of Chicago Crime Lab and Education Lab are seeking a Data Project Associate with strong technical skills to work on large-scale social policy research projects designed to reduce crime and improve educational outcomes.
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Based in downtown Chicago, IL, Trajektory is an innovative data insights and valuation technology start-up with a unique take on how to leverage and value data throughout the sports, media, and entertainment industries.
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As a Site Reliability Engineer focused on data services, you will join a super-talented team of ops-focused engineers that delivers world-class cloud-based infrastructure to support our global customer base.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks Apache Spark and/or Azure Databricks. Microsoft Azure Big Data Architecture certification a plus.
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Technical Environment: Python and PySpark programming; Hadoop; HDFS, map-reduce, YARN, AWS EMR; Hive, HBase, parquet, ORC, Spark SQL, Sqoop, Apache Hudi; orchestrating ETL pipelines involving data sourcing, transformations and publishing using Apache Airflow; Apache Kafka; Advanced SQL for data profiling and data validation; Unix commands and scripting; JIRA, Gitlab, and Subversion; EMR; S3; RDS; MWAA; Jenkins; CircleCI; Agile; AWS.
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Data Architect (Assistant Vice President) page is loaded. Data Architect (Assistant Vice President) Designing, developing, testing and implementing solutions for the data management functions including metadata, master data and data quality management, with SQL, C#, Power BI, Azure Data Factory, Logic Apps, Event Hub and other vendor platforms.
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data job in Chicago, IL
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