| Tuesday Interview || BigData Hadoop Engineer with Retail domain exp || Bentonville, AR (Day 1 Onsite - hybrid) at Bentonville, Arkansas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=595820&uid= From: Rahul Kumar, SPAR Information Systems [email protected] Reply to: [email protected] Hello Folks, Hope you all are doing good. Please go through the Job description and let me know your interest. Title: BigData Hadoop Engineer with Retail domain exp Work Location: Bentonville, AR (day one hybrid) Duration: Long Term Contract Job Description: Must Have Skills: Big Data/ Hadoop 8+ Yrs of Exp Scala 3+ Yrs of Exp Python 3+ Yrs of Exp SQLs, Spark queries 4+ Yrs of Exp Retail Requirements: Bachelors degree in Computer Science, Computer Engineering or a software related discipline. A Masters degree in a related field is an added plus 6 + years of experience in Data Warehouse and Hadoop/Big Data 3+ years of experience in strategic data planning, standards, procedures, and governance 4+ years of hands-on experience in Python or Scala 4+ years of experience in writing and tuning SQLs, Spark queries 3+ years of experience working as a member of an Agile team Experience with Kubernetes and containers is a plus Experience in understanding and managing Hadoop Log Files. Experience in understanding Hadoop multiple data processing engines such as interactive SQL, real time streaming, data science and batch processing to handle data stored in a single platform in Yarn. Experience in Data Analysis, Data Cleaning (Scrubbing), Data Validation and Verification, Data Conversion, Data Migrations and Data Mining. Experience in all the phases of Data warehouse life cycle involving Requirement Analysis, Design, Coding, Testing, and Deployment., ETL Flow Experience in architecting, designing, installation, configuration and management of Apache Hadoop Clusters Experience in analyzing data in HDFS through Map Reduce, Hive and Pig Experience building and optimizing big data data pipelines, architectures and data sets. Strong analytic skills related to working with unstructured datasets Experience in Migrating Big Data Workloads Experience with data pipeline and workflow management tools: Airflow Experience with scripting languages: Python, Scala, etc. Cloud Administration Thanks & Regards, Rahul Kumar Sr. Technical Recruiter SPAR Information Systems (a E-verify Company) Email : [email protected] Keywords: golang Arkansas http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=595820&uid= |
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| 06:35 PM 01-Sep-23 |