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Required Skills: SQL Databases & network configuration; ETL (PENTAHO); Linux/UNIX, PERL programming, crontab files, MicroStrategy admin skills; Java-based applications environment; AWS & related open source & cloud tech; Python for automation; Bash/Shell scripting, Chef, Kafka, Storm, Spark, Hadoop, HDFS, SQOOP, HIVE, PySpark, Spark SQL, PIG, Yarn, DynamoDB (NoSQL), PostgreSQL, Restful API's, XML, JSON, Airflow, Hortonworks Data Platform (HDP.
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Data Center Construction Project Manager- Owner's Rep – Chicago, IL. We are looking for a Data Center Construction Project Manager to support critical facility construction projects. Experience managing Data Center Construction Projects as an Owner or as a General Contractor.
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NorthShore – Edward-Elmhurst Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties.
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Perform data audits using various systems (i.e. SEVIS, People Soft (PS) Datawarehouse (DW), and Terra Dotta (TD. Position responsible for data reconciliation and analysis to ensure institutional compliance and coordinating institutional reporting through SEVIS. Position is also tasked with the critical responsibility of testing and evaluating efficacy of PS upgrades, and their impact on communication among People Soft, Terra Dotta and SEVIS.
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Experience in test automations ensuring data quality, continuous integrations build and deployment processes using Docker, GitHub, Jenkins and Unix/Linux shell scripts. Experience in Big Data tools and technologies such as Big Query, Databricks, Airflow, Spark, Kafka Streams.
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The ideal candidate will possess a strong background in Data Center builds and management, VMware technologies, Azure, Active Directory, Exchange and SMTP relay, EMC storage, physical server technologies, and related Azure services.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Our Machine Learning Engineer is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features.
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Responsibilities include working with domains leads to define Key Performance Indicators (KPIs) and other metrics for Data Governance and Data Quality, producing metrics dashboards from that data using visualization tools including Tableau and Excel, generating reports, and identifying and interpreting data trends and providing actionable insights based on data.
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Pay meticulous attention to end-to-end data quality, validation, and consistency. As a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow.
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Bring data-led, consumer consumption-based insights to creative strategy and asset development, and measure the quality and effectiveness of content by implementing weekly, monthly and quarterly reporting operations to effectively communicate results, in partnership with Adult Care Integrated Media Specialist and Insights & Analytics.
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Lead the Data Advisory/Dive Council to identify data quality issues and recommend to the Institutional Effectiveness Council institution-wide remedies to assure that high quality data is gathered and available for strategic decision-making.
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MAX Digital is looking for a Data Operations Engineer to join our growing team and boost our data quality and data control efforts to meet customer and market demand. Develop and analyze large data sets using all required tools from data gathering, data quality check, query data, and BI.
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You are caught up on industry trends in data integration/transformation frameworks, DevSecOps, serverless computing/architecture and cloud technologies along with building skills to anticipate what the near future will bring.
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Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others. As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization.
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Experience with aviation industry and/or design of aircraft-related systems and products (e.g. Satcom, In-Flight Entertainment, Data Recorders, Propulsion Systems, Airframes, etc.) Experience within the transformation of traditional data center security measures into industry adopted cloud technologies.
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data quality jobs Company: Kforce Inc in Chicago, IL
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