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We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
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Strong working experience with Big Data technologies (Spark, Data Bricks) for Data integration, & processing (ingestion, transformation, curation, etc), preferably on Azure cloud, and a clear understanding of how the resources work and integrate with cloud and on-prem.
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5+ years of recent experience as an Oracle Data Engineer, and ETL Developer. Job Title: Data Engineer-Oracle/ETL. Working experience with Informatica for ETL, Linux shell scripts, and Autosys is a big plus.
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Google Cloud Professional Data Engineer Certification is an advantage. Google Cloud – Big Query, Pub/ Sub, Dataflow, Composer DAGs, Cloud storage. Must have an experience in data setup work to support front end application.
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In depth knowledge in Big Data solutions and Hadoop ecosystem. At least 8 years of overall experience in building ETL/ELT, data warehousing and big data solutions. Experience in building data warehouse using Cloud Technologies such as AWS or GCP Services, and Cloud Data Warehouse preferably Google BigQuery.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with cloud data warehouses like Databricks, Snowflake, Synapse, Redshift, Big query. Create and support architectural models and technical design documentation, which includes current and future state process flows, applications/database objects, specifications that detail proposed database and/or data integration implementations.
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We make Brawny® paper towels; Dixie® paper cups and plates; Angel Soft® bath tissue; enMotion® paper towel dispensers, DensGlass® gypsum board and Plytanium® plywood you see in your big box home improvement stores and much more.
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Job Title: Big Data Engineer Job Location: Atlanta GA (Onsite Day one) Experience : 8years Rate: $60/hr candidate rate Job Description Have handson knowledge of Spark (Scala preferred) Hadoop Kafka etc Develop batch and streaming solutions using various Big Data technology.
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisLead Data Engineer (Python, AWS, Kafka)Do you love building and pioneering in the technology space? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
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Job Title: GCP Data Engineer. Experience in Google Cloud platform (especially BigQuery & Dataflow) With a strong track record of innovation, investment in digital solutions, and commitment to client success, at Zensar, you can help clients achieve new thresholds of performance.
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Required Skills & Experience: Strong experience with Java, Springboot, GCP Experience with big data tooling (Hadoop, Cassandra, Spark) Experience with SQL Strong ability to communicate cross-functionally Prior experience in the retail/e-commerce space The Offer You will receive the following benefits: Medical Insurance Dental Benefits Vision Benefits 401(k) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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2+ Experience in writing SQLs to get analytical data from Google Big Query or equivalent OLAP databases like Snowflake. Expertise in Data structures, Object-oriented programming, functional programming, familiarity with microservices, cloud Technologies.
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Experience with big data platforms (AWS, Athena, Hadoop, etc) 4+ years performing object-oriented design, data structures, algorithm design, problem solving, and complex analysis.
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Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics. At the direction of lead architects, develop and implement technical efforts to design, build, and deploy AWS applications, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics.
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Experience with big data technologies such as Hadoop, Spark, or similar. Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation.
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big data jobs Title: engineer in Atlanta, ME, Canada
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