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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Senior-level software engineer or data engineer with experience developing and deploying big data analytics applications using Databricks on the AZURE platform. Contribute to the design and optimization of a Data Analytics system using Databricks on the Azure Platform.
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Data Modeling for Snowflake and Databricks: Develop efficient data models for cloud database to facilitate scalable data storage, processing, and analytics. Data Integration and Synchronization: Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience working with data integration and business intelligence tools (Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik). · Possess strong working knowledge of various data integration and business intelligence tools, including Azure ADF, SSIS, Talend, Profisee, SSRS, Power BI, Tableau, and Qlik.
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Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Implementation and tuning experience in the Big Data Ecosystem, (such as EMR, Hadoop, Spark, R, Presto, Hive), design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, DataStage, Informatica, Azure Data Factory). ● Familiarity with ETL transformations between data stored in MS SQL Server Management Studio, Azure SQL Database, Oracle databases and ServiceNow. ● Experience with scripting languages, Bash, PowerShell, Google Script and some C# and Python.
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We’re currently looking for a talented, motivated, ambitious and innovative SVP, Marketing Sciences Lead (Data Sciences) who has a passion for all things data but primarily the ability, understanding and application the latest data science techniques in both creation / activation and ongoing maintenance and optimization.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expert understanding of the electrical and mechanical systems used in a facility and 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.
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Thank you for your interest All you need to start earning this week is remote data entry. Thank you for your interest All you need to start earning this week is remote data entry. Looking for Remote Work From Home gigs part time.
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Using a CAFM database system, they interact with various contacts to process updates of space and people data, perform and capture audits, and participate in data governance programs. Knowledge in Archibus application and how to assign space data to room records.
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Your expertise is needed on our Finance Team to collect and manage project data in compliance with Department of Treasury’s Community Development Financial Institutions Fund (CDFI Fund) program requirements, including all CDFI programs (FA, NMTC, CMF, ERP, etc.
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Expert understanding of the electrical and mechanical 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.
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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. Youll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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Title: data Company: Ancestry in Chicago, IL
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