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Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required · Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/PostGres, MongoDB · Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline · Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning.
$75 an hourExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Strong knowledge in Machine learning and AI.Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Experience implementing and automating models created by data science teams (i.e. Spark, Scala, Hive, Python, R, etc.
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Specifically, this experience must be in writing Big Data data engineering jobs for large scale data integration in AWS. Prior experience in writing Machine Learning data pipeline using Spark programming language is an added advantage.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Should have prior experience in working as a Data Warehouse/Big Data Architect. Should have worked on other big data frameworks such as MapReduce, HDFS, Hive/Impala, AWS Athena.
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Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with big data technologies and frameworks, such as Apache Spark or Hadoop, enriching the skill set for handling large-scale data processing and analytics tasks. AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics – Specialty), demonstrating a deep understanding of AWS cloud services and best practices.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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In addition to general computing labs, the department houses several specialized research labs in graphics & VR/AR, Cyber-Physical Systems (CPS), Active Cyber Infrastructure and Defense (ACID), Theory and Algorithms, Machine Learning (ML), networks (DECENT), Big Data Management and Mining Laboratory (BDLab), Mobile and Pervasive Systems Lab (MAPS Lab), and Parallel and Distributed Systems (PDS.
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We are looking for a Senior Data Scientist to partner with our paid and organic growth marketing, product, and business leaders to drive insights across our customer acquisition channels, understand our customer attribution, lead experimentation for our marketing and growth teams, and play a big key role in helping us grow profitably over the next few years.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience in any big data technologies - Hadoop, EMR, Amazon Redshift, Azure CosmosDB, Azure Data Lake, AWS DynamoDB, or advanced analytics tools. The Drilling Analyst must be an expert in data visualization libraries, SSRS, embedded UI solutions, Power BI reporting, and SQL development being self-sufficient in writing queries to support visualizations.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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About Xentity We are a fast-growing data consulting and support services firm - focused on large data programs in data types such as geospatial, open, big, and IoT data.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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We are looking for a highly experienced Data Specialist with hands-on experience in SQL (ideally MS Sql Server/Google Big Query), Data Warehousing, and designing and writing code for ETL processes in Python.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Exposure to big data technologies like DataBricks, Snowflake etc. Exposure to Master Data Management (MDM) Hands on experience in building metadata driven ETL frameworks, Data Quality frameworks.
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Overview: We are looking for a highly experienced Data Specialist with hands-on experience in SQL (ideally MS Sql Server/Google Big Query), Data Warehousing, and designing and writing code for ETL processes in Python.
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