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Familiarity/experience with data integration and data pipeline tools (e.g., Informatica, Synapse, Apache NiFi, Apache Airflow) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Architecting data warehouse and data integration components; Data engineering to design and develop information systems utilizing Tableau platform, Python, or Amazon Web Services (“AWS”) Glue.
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Informatica CDI (Cloud Data Integration) Informatica IDMC , Informatica Intelligent DataManagement Cloud (Only USCZ) Informatica CDI (Cloud Data Integration) Informatica IDMC , Informatica Intelligent DataManagement Cloud (Only USCZ.
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Analyze operational data and due diligence materials from potential acquisition targets; partake in post-closing integration activities. 4+ years experience with ETL tools, including Informatica, DataStage, SSIS, Talend, etc.
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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.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Deep expertise in designing and implementing ETL (Extract, Transfer & Load) processes for data integration and experience with MLOps products like Cnvrg.io, Run.ai, H2O.io, Kubernetes, Containers, Apache NiFi, Talend or Informatica.
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Artificial Intelligence & Data Engineering will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms.
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In this role, you will be responsible for designing, developing, and maintaining data integration solutions using Informatica IICS, SQL databases, and Master Data Management principles.
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5+ years of experience designing and implementing data integration framework using Informatica PowerCenter or equivalent Microsoft BI technology. Create Source to Target Mapping Specifications for data integration development.
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Develop and execute unit, system, performance, and regression testing on data integration mappings. As a Senior Data Engineer at Uline, you’ll play a pivotal role in constructing and maintaining our new, cutting-edge data collection systems and analytics platform.
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Architecture - Designs, creates, and maintains the conceptual data infrastructure to support data quality, data stewardship, data integration, data migration and system collaboration in support of business model and information needs.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Proficiency in designing and implementing ETL processes and data integration workflows using tools like Apache Airflow, Informatica, or Talend. Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Data engineer (snaplogic) pipeline. Informatica Power Center (not looking for an IICS or cloud person) strong data modeling skills doing either Dimensional or Data Vault models.
$75 - $76 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with ETL and data integration development using multiple tools, including Informatica, Microsoft SSIS or other technologies. Strong understanding of data engineering and data stewardship roles in an organization.
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