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Knowledge of data warehousing architectures, data integration techniques, and ETL tools (e.g., Informatica, Talend, Apache NiFi). Design, develop, and maintain data pipelines and ETL (Extract, Transform, Load) processes to ingest, process, and transform healthcare data from diverse sources, including electronic health records (EHRs), medical imaging data, wearable devices, and claims data.
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Learn and demonstrate mastery across a wide variety of data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
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Perform ETL tests which require strong PL/SQL Skills and Data warehousing knowledge. The role of an Engineer III - Quality Assurance at IEHP is to Lead Quality Assurance efforts on the implementation of large complex third-party software products / homegrown software products across the organization and provide Quality Assurance support to various departments in IT. Support testing efforts within an agile team and execute all levels of testing (Functional, API testing, Data Validation, Integration, and Regression.
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Competency in data engineering, and familiarity with common data tools, and technologies, including data warehousing, ETL processes, data modeling, and database management systems. CleanChoice Energy, a national renewable energy company that empowers people and businesses to cut emissions and live cleaner, healthier lives, is seeking a Technical Project Manager to join the Data Engineering department.
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Strong understanding of data integration technologies, ETL processes, and data warehousing concepts; solid comprehension of various cloud-based data platforms such as Azure, Snowflake, AWS, etc.
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The Business Analyst - PD is responsible for gathering requirements for Cryoport Business Intelligence solutions (ETL, Data Warehousing and Visualization) and assisting the development team to implement stronger business intelligence capabilities for Cryoport Systems.
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Experience with cloud-based data warehousing solutions like Snowflake and data engineering platforms like Databricks. Experience with structured ETL frameworks like Apache Airflow, or related technologies such as AWS Glue/ AWS lambda step functions.
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ETL tools (Alteryx or SSIS) We are immediately hiring a Data Analyst/Industrial Engineer in Hagerstown, MD for our Supply Chain Solutions division. This will push the envelope of what is possible within the big data space; streaming live data into a data lake and experimenting with data in the data sandbox.
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The Sr. ETL Developer contributes to the success by designing and developing complex data-centric solutions, including data warehousing, system integration, ETL & data integration, and BI/semantic models, e.g. SSAS. The incumbent will participate in the full life-cycle of solution implementation, from requirements gathering/review and data modelling through development, testing, implementation and maintenance.
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With at least two years of hands-on experience with ADVANA Databricks and Qlik, proficiency in SQL, and skills in Python or R, the successful candidate will demonstrate statistical, mining, and predictive modeling expertise, a deep comprehension of data warehousing and ETL processes, alongside exceptional problem-solving and communication abilities.
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5 years data warehousing development, implementation and support Remote Oracle Data Integrator ETL Developer duties: & Designed, developed, and maintained the data warehouse using Oracle database and Oracle Data Integrator (ODI) for ETL. & Work with stakeholders to gather and analyze requirements for data warehousing solutions.
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Hands on experience leading large-scale database, ETL/ELT deployment in batch or streaming ingestion, and AI/ML projects with building feature software. Deeply technical and analytical with implementation and architectural experience in Streaming, Big Data, AI/ML engineering and Data Warehousing.
$158,000 - $208,000 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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At least 5 years of experience across more than one of these areas is required: master data management (especially finance domain), ETL/ELT, data integration, data warehousing, lake houses, and streaming data.
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Overall 10+ years of experience in building complex IT solutions more focused on data pipeline (Data Engineering, Data Warehousing, DataLake, DeltaLake, Bigdata, Data Streaming, unstructured data, and data modeling for BI/AI solutions.
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Position Description The Sr. ETL Developer contributes to the success by designing and developing complex data-centric solutions, including data warehousing, system integration, ETL & data integration, and BI/semantic models, e.g. SSAS. The incumbent will participate in the full life-cycle of solution implementation, from requirements gathering/review and data modelling through development, testing, implementation and maintenance.
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