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4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) The Big Data Azure Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Job Role: GCP Data Engineer.
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Knowledge of big data technologies such as Apache Spark, Hadoop, or Kafka. AWS Certification (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect). Design and implement scalable data pipelines using AWS services such as Glue, Redshift, S3, Lambda, EMR, Athena.
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Senior Big Data Engineer - Homes.com. + Familiarity with Data visualization tools such as Tableau, and Power BI. + Knowledge and experience working with data frameworks (e.g. Apache Spark.
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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. Job Summary:As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will be an team member contributor working closely with Finance, Strategy and Leadership Team. You will address key strategic issues requiring advanced analytics and a big data-promote approach.
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Guide engineering teams in the design and development of commerce applications, with specific emphasis on Shopify, Sales Force Commerce Cloud, and Big Commerce. Over the last decade, Trove has equipped leading brands with technology and operations to create and scale branded resale programs by enabling customer trade-in of items, single-SKU identification and condition grading, site build and maintenance, and customer data collection, analytics and reporting.
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Big data technologies to include Data Ingest (JSON, Kafka, Microservices, Elastic Search), Analytics (HIVE, SPARK, R, PIG, OOZIE workflows), Elasticsearch, Hadoop (HIVE data, OOZIE, Spark, PIG, IMPALA, HUE), COTS Integration (Knowi, MongoDB, Oracle, MySQL RDS, Elastic, Logstash, Kibana, Zookeeper, Consul, HADOOP/HDFS), Docker and Chef.
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Electronically Stored Information Process Audit:Requires knowledge of:Data mapping; Data custodians; Computer forensics; Archives; Assisted reviews; Attachment backups; Batch processing; Big data; Boolean searches; Chain of custody; Coding to find identifiers; Data extraction; Hash; Hosting; Legacy data; Load files; Normalization; Processing.
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This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, cloud computing, and big data platforms to enhance or overhaul core actuarial processes.
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2+ years experience in at least one or more of the following areas: Diagnostic Imaging Post-Processing to include 3D reconstructions and analysis, Radiology Data migration and curation, Augmented Reality/Virtual Reality program development and modeling, CAD and 3D printing, computer programming, and/or big data/machine learning/artificial intelligence.
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Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related disciplineExpertise in Python, SQL, and RExpertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON Expertise in ETL concerning metadata management and data validation Expertise in Unix and Git Expertise in Automation tools (Autosys, Cron, Airflow, etc.
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Big Data Machine Learning Engineer. The Big Data ML Engineer fills a critical data, analytics, technology support, and innovation role for the business analytics and advanced analytics functions within the organization.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. Proficient in large-scale data processing including batch and streaming, query engines, tooling, and storage formats.
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Our Client is in search of a Data Architect who exhibits deep technical expertise and proficiency in spearheading the design and execution of enduring data initiatives. Over 8+ years of professional experience in roles such as Data Engineer or Developer, showcasing a strong technical command over Snowflake, dbt, Airflow, SQL, and other pertinent technologies.
$200,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
big data jobs Title: big architect Company: Rackspace Us
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