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Proficiency in metadata and data quality tools like Atlan, Collibra, Informatica, Alation, Atacama, Talend, etc. Lead the customer success and enterprise data stewardship team to drive data governance adoption, working with data stewards across divisions to embed governance practices and enhance data-driven culture.
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As a Data Engineer on the team, you will contribute to the scalable Batch and Streaming ETL pipelines , DWH design and Data modeling, Data Governance initiatives tools and applications that make that data available to other teams and systems.
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Responsible for day-to-day Onshore - Offshore service delivery operations for Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks applications. Experience with Customer support service delivery for Integration Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks technology environments.
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Strong leader with around 8+ years of cross functional and technical experience in IT Industry which includes 4-5 years of experience in AWS cloud using Lambda, Step Function, Glue, DMS, S3, Snowflake, RDS Postgres, Python and 10 years of experience in Data Warehousing and BI solutions using Informatica with Oracle and SQL databases.
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Including hands on experience with productionized data ingestion and processing pipelines using Python, Databricks, Snow SQL. Minimum 8+ years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse.
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5+ years experience with Big Data Technologies such as Apache Spark, Kafka, Teradata, Oracle, informatica, Snowflake or Cloud Native Data Lakes in a customer-facing post-sales, technical architecture or consulting role.
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Able to Develop EL pipelines in and out of data warehouse using combination of Databricks, Python and SnowSQL. Sr. Snowflake Data Warehouse Specialist. Able to provide architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Data Science Enabled Engineering : Development of data-science (DS) methods and data-driven algorithms with applications to Advanced Manufacturing, Robotics, Artificial Intelligence (AI)- and Machine Learning (ML)-based Engineering Design and Optimization, Integrated Computational Manufacturing and Material Engineering ( ICME.
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Ability to build AWS cloud/Snowflake data solutions and provide technical perspective and expertise on storage, platform services, cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks.
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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Placed within the CHC Data Privacy Team, the Regional Privacy Officer North America (United States of America, Canada) will be responsible for executing the Sanofi CHC’s Data Privacy Program and supporting day-to-day business operations, overseeing compliance with data protection laws and practices.
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Experience with high volume data processing using Snowflake , Redshift, Databricks, and other relevant cloud technologies and designing solutions for reliability and performance at scale. Work on Data Modelling for both Snowflake and Teradata.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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data job Title: hadoop consultant Company: Dice in Piscataway, NJ
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