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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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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.
$75,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This position will perform Software Application Developer duties that will involve the following technical areas: Microsoft Azure, Data Factory, Data Lakehouse on Databricks, Microsoft SQL Server, and Power BI reports.
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Hands on strong Java frontend and backend programming, J2EE, hands-on experience with Spring Framework, Spring Boot, Spring MVC, RDMS databases like (Oracle, PostgreSQL, SQL Server), File systems, Designing Large scale Applications and AWS.
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Strong understanding of cloud platforms (AWS, GCP, Azure) and data engineering tools (e.g., Databricks, Snowflake). Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Human-Centered Data Science (e.g., databases, big data, information retrieval, robotics, artificial intelligence, information visualization) Cultural Heritage Informatics (e.g., archives, digital collections, preservation, digital curation, digital humanities, museum studies, metadata, cultural studies of information technology, history of information, critical data studies.
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Experience using SQL (Redshift, Databricks) and ETL (dbt) tools to transform big data sets (billions of rows) into digestible insights/metrics across technical (Looker) and non-technical tools.
$210,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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AWS, Azure, Oracle) Knowledge of Infrastructure as Code (IAC) languages, preferably Terraform Strong knowledge of databases (SQL and NoSQL) Experience with Kafka, Apache Spark, Lucene and other big data technologies Disclaimer:Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
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Server and data security concepts and compliance requirements. Proven experience and proficiency with below compute technologies and related activities: Technology solutions: Dell and HPE server Cisco UCS VMWare vCenter Products Nutanix HPE Storage (MSA, Nimble) Storage Cashing Technology (Nasuni, Talon, Pandora) Object Storage (EMC ECS, Azure, AWS) Archive product (Komprise, HubStore, Enterprise Vault) Backup Product (Veeam, Networker, DataDomain, Avamar, NetBackup, Commvault) Server sysadmin or similar role with in-depth hardware knowledge.
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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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Architect and deploy Server System RAS solutions using AMD Processors, accelerators, Network Components for High-Performance Computing, Server and Mega data center applications and be in the forefront of system hardware innovation.
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Big Data and Analytics. Data Center Modernization skills including, but not limited to: Data Center Facilities modernization, Data Center Migration, Data Center colocation, Data Center Consolidation, Data Center core networking concepts, etc.
$201,020 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation and analysis. 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.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Excellent knowledge of databases, data flows, and data manipulation in both operational and analytical contexts; proficiency with SQL-based languages; expertise with data visualization tools (Tableau, Power BI, etc.
$76,000Full-timeExpandApply NowActive JobUpdated Today
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