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Additionally, you will handle ETL testing, testing automation, Azure DevOps, and deployment processes. – Deploy data pipelines, ETL processes, and infrastructure changes using Azure DevOps.
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Data Integration: SSIS, Azure Data Factory, Databricks, or other enterprise ETL tools; + in architecture, design and development of data integration (ETL) solutions, including data quality and master data management - primarily using Microsoft technologies.
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SKILLS: Application Developer Lead, BPM, Oracle, SOA, ETL, BI, Business intelligence, Analytics, ESB, IBM Integration Bus, ETL, Analytics, File Transmissions, Vendor Management. Email DBA Web Technologiesmarketing@dbawebtechnologies.com THREE Application Developer Leads (BPM, Oracle, SOA, ESB, ETL, BI, Analytics) in Pittsburgh, PA Application Design, BPM, Business Intelligence, ESB, ETL, Oracle, SOA Location: Pennsylvania Job Function: Application Development Date Of Job Posting: 07-07-2018 THREE Application Developer Leads (BPM, Oracle, SOA, ESB, ETL, BI, Analytics) in Pittsburgh, PA.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
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Experience in performing ETL and data engineering work by leveraging multiple google cloud components using Dataflow, Data Proc, BigQuery. Streaming ETL: Apache Beam, Kafka. ETL development experience with strong SQL background.
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1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline. 1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline.
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Only Fulltime: Google Cloud Platform Data Engineer in Parsippany, NJ /Atlanta GA (Onsite) 1-2 years of experience in Google Cloud Platform (especially Big Query). Knowledge of data Modelling, database design, and the data warehousing ecosystem.
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Understanding of ETL methodology and/or creating data models within Qlik and/or Databricks environment to join multiple data sources into a model for accurate and efficient rendering of outputs within Qlik. Understanding of data automation principles.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated , hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Knowledge of Qlik/ Qlik Sense, QVD/ QlikView, and Qlik Production Application Standards (QPAS) is a huge plus.
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We're seeking a talented Power BI Developer to join us on an 8-week contract within our Azure environment, with a focus on Extract, Transform, Load (ETL) processes. If you're a skilled Power BI Developer with expertise in ETL processes, apply now to join our team.
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Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus. BigBear.ai's customers, which include the US Intelligence Community, Department of Defense, the US Federal Government, as well as customers in manufacturing, healthcare, commercial space, and other sectors, rely on BigBear.ai's solutions to see and shape their world through reliable, predictive insights and goal-oriented advice.
Full-timeRemoteExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Understanding of data modeling/visualization, database design principles, and data governance practices. Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
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The ETL Test Automation Engineer will be responsible for developing and maintaining an automated regression suite to prevent data loss, ensure quality, and optimize logical processes, all while ensuring seamless alignment with business requirements.
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Experience in using an Enterprise Scheduler (Tidal) •Experience in an Agile Development environment # On-point communication skills to concisley report status of work/issues and next action, and articulate technical complexity to Businss analysts, Project manager and Business usersKeywords: Education: Bachelors degree in Computer Science or Finance Skills and Experience: Required Skills: DATABASE DATA MODELING ETL DATABASE MODELING DATA WAREHOUSE.
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