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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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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
$245,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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WHO YOU ARE: You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You have experience with ETL/ELT and data warehousing using tools such as dbt, Azure Data Factory, Matillion and/or Fivetran You love building data-driven products and have expertise in one or more programming languages (ideally Python.
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Experience with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Airflow, Presto, Druid, Opensearch, HA Proxy, or Hive. Responsibilities include automation and scaling of Big Data and Analytics tech stacks on Cloud infrastructure, building CI/CD pipelines, setting up monitoring and alerting for production infrastructure, and keeping our tech stacks up to date.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Proficiency in Snowflake and other data warehousing solutions (Redshift/Big Query) Snowflake (Core/Advanced Architect/Advanced Data Engineer/Advanced Data Scientist/Advanced Administrator.
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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. The assignments will include gathering data from multiple sources, data processing, exploratory data analysis, measurement, unstructured data analysis, predictive analytics, prescriptive analytics, interpretation of findings, presentation, and system implementation.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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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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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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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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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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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Perform research, data collection, quality assurance, analysis and problem solving (Python, SQL, Informatica DQ, Unity Catalog in Databricks, Triage & remediate data quality, Data integrity or data management issues.
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Proficiency in model development, model validation and model implementation with Big-Data. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so.
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Represents GBS Data Governance in enterprise workgroups and data steward communities of practice. The Data Steward leads complex, cross-organizational conversations – including risk assessment, data quality auditing, issue management, and knowledge management – to ensure Medicare & Medicaid data is fit for organization use.
ExpandApply NowActive JobUpdated 5 months ago
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