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4+ years of experience as a Power BI Developer/Data Engineer, experience with DW development and support, knowledge of dimensional modeling and data storage, advanced SQL knowledge, working experience with ETL environments, knowledge of PowerBI and other BI/DW tools, basic understanding of git, strong English communication skills.
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Experience implementing solutions using at least one of the following technologies Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.
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Your proficiency in data modeling, database design, and data warehousing will serve as the bedrock for pioneering innovations, coupled with hands-on experience across various data sources and platforms, with a specific emphasis on Microsoft Azure.
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NET Core development, experience in Microservices and Hexagonal Architecture, frontend development experience with Javascript and Angular, experience with Azure DevOps and Kubernetes.
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5+ years of experience in pharmaceutical product commercial omni channel datasets, data governance and data stewardship. At least 5+ years direct experience with pharmaceutical sales data and data management with the emphasis on syndicated data, Specialty Pharmacy and.
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Good understanding of or experience working with data providers such as Experian, Acxiom, Merkle, Epsilon, Nielson, YouGov, TGI, GWI, comScore, and Geo, retail, Collaborative experience in data science and custom research.
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You have experience working in the data protection (Privacy) space at a medium or large company. You have experience with Blockchain technology (such as Bitcoin, Ethereum etc. You have at least 3 years of experience in software engineering.
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The successful candidate will be an experienced engineer with strong communication skills with in-depth working experience with security frameworks of SaaS applications, integrations, and data flows.
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At least 2 years of experience in a data engineering, data science, or analyst role at a high-growth or early stage startup — or equivalent open-source/personal project work. Familiarity with modern data tools such as BigQuery, Snowflake, Metabase, dbt or their equivalents.
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Primary responsibilities will include analysis in our many data sources (Enterprise Data Warehouse, Snowflake, Informatica, MSFT Dynamics, Big Data, Google BigQuery, Adobe Experience Platform) to build recommendation and propensity models as well as working with Data Engineering to identify, clean and integrate data into destination stores.
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The ideal candidate will have a strong background in data analysis, proficiency in data visualization tools and techniques, experience with database management systems, and excellent communication skills.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
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Knowledge or experience with big data technologies such as Spark, Hadoop, Redshift, Snowflake, Kafka, Flink, Druid, Clickhouse. Experience with shipping and maintaining production-grade systems.
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Proven experience in designing, modeling, documenting, and implementing scalable and performant data architectures in MySQL as well as technologies such as Druid, Snowflake, and/or ElasticSearch.
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Hands-on experience in working with large volumes of data and distributed processing frameworks (such as Apache Kafka, Kinesis, Spark, Flink) and building state for streaming data.
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no experience jobs Title: data entry clerk Company: The Fh Group Of Texas in Snowflake, AZ
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