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Strong Python, SQL, Azure Databricks, and Data Factory (ADF) are all non negotiables. Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect or ETL developer.
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Experience with Azure Data Factory, Azure Databricks, and Snowflake is highly preferred, but similar cloud technology experience will be considered. Embrace the chance to influence key business initiatives, grow your expertise in leading technologies like Azure Data Factory and Databricks, and be part of a company that values your contributions and fosters your professional growth.
$100,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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Proficiency in data manipulation and analytics tools such as Excel, SQL, Python, R, SAS, MicroStrategy, Tableau, Spotfire with familiarity of emerging Analytics / Data Science capabilities (AI, ML, LLM.
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Experience managing databases, Azure Data Platform services (Azure Data Lake (ADLS), Data factory (ADF), Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB), SQL Server, Oracle, Data Warehouse etc.
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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. Job Role: GCP Data Engineer.
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At least 10 years of extensive experience and deep understanding of different types of syndicated commercial pharma datasets across Claims, Retail Sales, Non-retail Sales, Trade data, Specialty Pharmacy (SP/SD), Hub, Formulary, Co-pay, Prescriber-Plan data, EMR/EHR, Diagnostic data, Shipment, Inventory, Non-personal Promotion data, Speaker Programs, Email Campaigns, Digital Data (HCP Portal, Patient Portal, Brand websites, Third-party website), Conferences etc.
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Big data experience leveraging Spark or Hadoop technologies within a cloud infrastructure (Google Cloud – Big Query, etc. 10+ years experience developing data visualization tools such as Tableau or Microsoft Power BI.
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Experience developing data engineering and ML pipelines in Databricks. Write Python code in Databricks Notebook for data preprocessing, processing unstructured data/documents, feature extraction, API calls, and application orchestration.
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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
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The HR Data Analyst will have the ability to critically think and organize a variety of different datasets and workstreams. Summary : Our team is looking for a Senior HR Data Analyst to help review and maintain the integrity of our people's data with an intellectually curious mindset.
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As a CDP Campaign Builder, you'll be creating fantastic customer experiences in our Customer Data Platform, bringing about personalized, context-aware. Experience with data governance principles will be highly valued.
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Experience in analysis, data analysis, data visualization, mathematics, statistical data mining, or data science. Experience in business analysis, data analysis, mathematics, data warehousing, statistical data mining, and/or data science.
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Experience working with data management projects having experience in data analysis, data governance, data quality and lineage. Serves as an analytics resource to wider organization or business units, offering expertise on systems and data output.
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Job Title: SAP Master Data Analyst / ERP Data Analyst III. Hands-on experience with SAP Master Data structures is required. Ensure data integrity and accuracy. Job Title: SAP Master Data Analyst / ERP Data Analyst III.
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data job Title: hadoop Company: At T in Hanover, NJ
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