| Need Local : Hadoop Engineer (Retail Domain) : Bentonville, AR (ONSITE) at Bentonville, Arkansas, USA |
| Email: [email protected] |
| From: Lokesh, Metasis [email protected] Reply to: [email protected] Hello, Greetings for the day. Please go through the requirement and share me some suitable resume with contact details. Email is the best way to reach me. I may missed your call (due to high volume of call flow). Role: Big Data Hadoop Engineer Location: Bentonville, AR (day one hybrid) Duration: 12+ Months 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, Lokesh Kumar SPAR Information Systems (a E-verify Company) Cell: 972 430 7075 (Text) Direct Number:- 469-829-4894 Phone: 469-409-0307 Ext: 351 Fax : 214-291-2507 Email : [email protected] Keywords: golang Arkansas |
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| Fri Sep 01 03:32:00 UTC 2023 |