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Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Hands on experience with AWS Cloud, Databricks, Unity Catalog, Python, PySpark, Scala, HIVE, Bigdata/Hadoop, and Shell scripts is required. Experience in migrating data from on-prem Hadoop to Databricks/AWS.
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Big Data Architect, Cloudera Big Data Tool stack (Hive, Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP. Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Ensure the continuous improvement of data quality and completeness across Walmart's omni-business. We are looking for a very driven leader to lead the development and execution of new capabilities required to ensure the continuous improvement and accuracy of our market intelligence platforms.
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Experience securing Hadoop stack with Sentry, Ranger, LDAP, Kerberos KDC Experience supporting CI/CD pipelines on Cloudera on Native cloud and Azure/AWS environments Demonstrated expert-level experience in delivering end-end deployment automation leveraging Puppet, Ansible, Terraform, Jenkins, Docker, Kubernetes or similar technologies.
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Experience with data processing frameworks and tools (e.g., Apache Spark, Hadoop, Airflow, Databricks). Knowledgeable in scripting and automation tools, with proficiency in languages such as Python, SQL, and Shell scripting.
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6 years of experience must include: Java, JSP, Struts; Hibernate, Spring, J2EE, Apache Tomcat, Websphere; Hadoop, Hive, Cloudera, Impala, Python; Linux, Win32, Shell Scripting, Autosys, Cron Jobs; Oracle, DB2; and Project Management activities.
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Experience with Spark, Kafka, Ignite or Hadoop are advantageous. Experience of one or more of scripting and build automation tools (Ant, Perl, Shell, Python, Maven, Gradle, Groovy) is a plus.
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Design, develop, and implement solutions for sanctions screening applications using technologies such as Unix, Oracle, MQ, Big Data - Hadoop, AWS, Databricks etc. Proficiency in SQL, Unix, Shell Scripts, and Databricks is required.
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Java, Spring, SRE Informatica PowerCenter, Amazon Web Services, Teradata, Hadoop Distributed File System, Ab initio, Hive , Adobe Cold Fusion, BigData Validation, Splunk, Sybase, Cloud Computing Apache Pig, SQL Scripting, Docker Container, Unix Shell Scripting.
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Skill: Big Data Architect Big Data Architect, Cloudera Big Data Tool stack (Hive, Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. Proficiency in Apache Oozie for workflow management, job scheduling, and orchestration of complex data processing workflows in Hadoop ecosystems, ensuring reliable and efficient execution of data pipelines and batch processing jobs.
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Must have experience with strong UNIX shell scriptingPreferred experience using Talend with Hadoop technologies. Must demonstrate expertise in data migration best practices from on-prem to Cloud with technologies like Hadoop and Azure cloud with Databricks platform.
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Job Req ID: 22678 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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