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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client.
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Previous experience in several complex Master Data Management projects using Informatica MDM tools. Engage in complex Master Data Management projects utilizing technologies including MDM, Data Integration, and Data Modeling.
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Firm understanding of data modeling, master data management, data quality, enterprise data warehousing, ETL, reporting, querying, requirements analysis, and data integration techniques and associated tools.
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Experience in utility-scale PV, wind generation, energy storage, electric vehicle charging infrastructure, microgrid, substation, or data center designs. Experience in utility-scale PV, wind generation, energy storage, electric vehicle charging infrastructure, microgrid, substation, or data center designs.
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Experience with Trimble GPS units, ArcGIS, and/or other ESRI data collection software. Experience in geomorphology data collection and processing. You will be performing data entry, analysis, and processing, as well as technical writing based on your field efforts.
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Data Warehousing: Familiarity with data warehousing concepts and technologies, like Azure Synapse, Amazon Redshift, Google BigQuery, or Snowflake. Familiarity with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure SQL Data Warehouse) and related services.
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Innovation and Future Planning: Keeping abreast of developments in data science, machine learning, and artificial intelligence to identify opportunities for applying these technologies in the organization.
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Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink. Knowledge of data visualization tools such as Tableau, Power BI, or QlikView for creating interactive and meaningful visualizations.
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Proficiency with enterprise integration tools, middleware technologies, iPass, application and data integration patterns including ESB, MOM, JMS, SOAP/REST web services, databases, ETL, and EDI.
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Our Talent Acquisition team is reviewing applications for our Consulting Data Integration Engineer opening. We are looking for a dedicated Consulting Data Integration Engineer like you to be a part of our team.
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As the Director, Data Strategy and Integrations, you'll be responsible for defining and leading data initiatives including Data Integration, Data Cataloging, Data Governance and Master Data Management.
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Strong understanding of healthcare quality measures, including NCQA HEDIS measures, measures derived from EHR and other standardized datasets, administrative data, and public health databases. Manage the process of NCQA certification for HEDIS measures, including data collection, submission, and validation.
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Knowledge of big data technologies like AWS Redshift, Hive and Spark. Knowledge in modern data engineering languages: Python, Event Bridge, Step Functions, Lambda, CloudWatch, CloudFront, Pyspark, R and Glue.
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The ideal candidate will have a strong background in data management, with expertise in Google Cloud Platform (GCP) and Apache Spark. Oversee the implementation and optimization of Apache Spark for large-scale data processing and analytics.
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Keeping abreast of developments in data science, machine learning, and artificial intelligence to identify opportunities for applying these technologies in the organization. Extensive experience in data management practices, including data governance, data quality, and data lifecycle management.
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data job in Nashville, TN
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