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3+ years of experience with Big Data tools/technologies like Hadoop, Spark, Spark SQL, Kafka, Sqoop, Hive, S3, HDFS, or. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka.
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Data engineering certification is a plus. Implement data tagging mechanisms and metadata management so data is accurately classified and visible to the organization.
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Strong analytical, operational and technical competency, with a proven ability to present data and complex analyses to audiences spanning line managers to senior management. Experience with multiple software languages and analytics tools (e.g., Spark, R, Python, SQL, Tableau, PowerBI, Microsoft Azure ML/AI Studio or other combinations.
$195,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Data Architect will work closely with the Program Manager, Cloud Solutions Architect, data engineers, and data analysts to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Highly skilled with distributed processing architecture and ML/Data workflow management platform (Spark, Databricks, Airflow, Kubeflow, MLFlow, etc) 4+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment (GCP, BigQuery, BigTable preferred.
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This role will be involved in working with Product Management, R&D, Business, Data Science and Data Architecture teams to design, build, and deploy a leading-edge platform supporting a robust analytics framework for the identification and reporting of illicit activities and associated behavioral patterns of abuse.
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Hadoop, Spark, Hive, Databricks, SQL, and Airflow. Extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, and SQL. Bachelor's degree in Electronics Engineering, Computer Science, or related field and 5 years of experience in the job offered or in a Senior Manager - Data Engineering-related occupation.
$219,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong experience in Big Data development & ETL data pipeline implementation using Apache Spark. As a senior member of a high-functioning agile team you will employ tools such as Apache Spark running on EMR, EC2 & EKS, AWS Glue, S3, and Apache Kafka to implement solutions which are secure, highly performant, resilient, and cost effective.
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Attention to detail with a passion for accuracy in data management. Self-starter with at least 4 years of music industry experience (A&R, management, digital marketing, music production, publishing, record labels, or music distributors.
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Domain knowledge for the following cybersecurity capability areas: Application Security, Vulnerability Management, Data Security and Protection, Cloud Security, Infrastructure Security, Identity and Access Management, Cyber Threat Operations, Cybersecurity Testing.
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Data engineering skills a plus, such as Beam, Spark, Pandas, SQL, Kafka, GCP Dataflow, etc. Strong DevOps skills: Linux/Unix environment, testing, troubleshooting, automation, Git, dependency management, and build tools (GCP Cloud Build, Jenkins, Bazel, Gitlab CI/CD, Github Actions, etc.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
$74.9 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum 3 years’ experience with H&S in the construction industry, preferably with data center construction or large projects. Proficient with the management of high-risk activities including electrical safety, excavation, fall protection, material handling, and crane operations.
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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 Yesterday
spark data management plus jobs in Atlanta, GA
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