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Understanding of Google Cloud Platform (GCP) technologies in the big data and data warehousing space (BigQuery, Cloud Functions, etc. Jav SQL Python Google Data Center Data Warehouse Google Plx Data Studio Looker Tableau Google Cloud Platform (GCP) Google plx dashboards GoogleSQL BigQuery SQL scripting.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Minimum of 3 end-to-end SAP Master Data Governance implementations. Minimum 7 years of experience with/in SAP Master Data Governance. Accenture's SAP practice, and we bring the New to life using design thinking, agile development methodologies, and the latest smart tech like IoT, automation, and AI. We even built myConcerto, a mix of SAP and Accenture that helps lead our clients to big wins.
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Experience with big data technologies (e.g., Ray, Kubernetes, Hadoop, Spark) and data warehousing solutions (e.g., Google Cloud and BigQuery). Strong knowledge of raster data and processing, such as OpenCV, Pillow, SIMD, BLAS.
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Develop and maintain data pipelines and work closely with data engineering team to migrate to production Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift based on business need.
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Job DescriptionJob DescriptionWe'd love to hear from you if you like:Making a big impact with a Forbes Top Startup EmployerWorking at a startup that has traction ($240M in funding | 40X revenue growth in 4 years)Mentorship from serial entrepreneurs and seasoned leaders who have scaled companies like Robinhood, Amazon, Wayfair, SoFi, GEICO, Microsoft, etc.
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Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred.
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This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Comfortable working with multi-TB cloud data warehouses (Snowflake*, Big Query, Redshift) Our current analytics toolkit consists of DOMO and dbt running on top of a Snowflake data warehouse.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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The Solutions Engineer will also develop and deliver new security services offerings to address customer requests/ opportunities.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Data Migration: Work with data migration teams to ensure that data from existing systems is accurately migrated to the new ERP system without loss or corruption. Your actual base salary will be determined based upon a number of factors which may include relevant experience, skills, location (labor market data), credentials (education, certifications), and internal equity.
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Experience with other Big Data tools such as Spark, Snowflake, and Kafka. Master Job Title :Big Data: Dev. Background in working with Azure Cloud Services: Data Factory, SQL database, Functions, Data Lake, Databricks, Logic Apps, and Azure Automation.
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big data jobs Company: Microsoft in Austin, Holdrege, Nebraska
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