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Significant experience with Data Governance concept such as Data lineage, Data Quality etc., and hands on experience with DG tools such as Collibra or Talend or other.
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Data modeling, quality, analysis, profiling (working experience with any data quality tool, SAS, Ataccama, Informatica Data Quality, Talend, OpenRefine.
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Incorporate core data management competencies including data governance, data security and data quality. Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
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Ensure data quality and accuracy throughout the data pipeline, using Python, Talend or Native Snowflake functionalities. Snowflake, Python and Talend Data Engineer (Senior Level.
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Utilize Talend for data integration and ETL processes, streamlining data workflows and ensuring data quality. Employ MSSQL Server/SSIS to perform data integration and transformation tasks, ensuring data consistency and integrity.
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Build and operationalize data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions. ETL tools, primarily Talend or similar (Ab Initio, Informatica.
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You understand Data Governance concepts (MDM, Metadata management, Data Security, Data Quality, etc) As a crucial part of our team, you'll be responsible for designing and implementing data pipelines, ensuring high-quality data integration, and contributing to innovative solutions.
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Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling e.g., models, schemas, controlled vocab.
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Knowledge and/or experience in working with SQL on Hadoop tools and technologies including HIVE, Impala, Presto, others from an open source perspective and Hortonworks Data Flow (HDF), Dremio, Informatica, Talend, others from a commercial vendor perspective.
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At least five years or more of work experience in data management disciplines including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
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As a member of this team, the Lead Data Integration Engineer will be responsible for DTCC’s data integration and management activities using the Informatica Data Quality & Data Integration Hub and supporting other technologies such as Talend tool suite.
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Proficient in data consolidation, ETL, data quality, data security, and data governance practices. You will play a critical role in ensuring data quality, data integration, and consistency across enterprise systems.
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Experience with unit and integration testing with a focus on data quality, veracity. As a Data Engineer ( ETL Specialist) , you will deliver scalable, performant ETL processes in multi-tenant cloud infrastructures that produce measurably high quality data sets.
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We are seeking a highly skilled and experienced Senior Data Engineer specializing in data warehousing and data quality practices, proficient in the Azure, AWS, and Talend toolsets to lead the dissemination and analysis of local and global datasets toward our future growth.
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Working knowledge of other advanced ETL tools are preferred but not required (Informatica, Pentaho Data Integrator, DataStage, Oracle Data Integrator/Data Warehouse Builder, CloverETL, Talend etc.
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