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Hands-on experience with Big Data environments e.g. Hadoop technologies like Hortonworks or Cloudera, R, Hive, Pig is highly valued. This role will focus on analyzing and improving data quality initiatives, enhancing data processing capabilities and extracting insights from data assets.
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Hands on experience with servers (Supermicro, EMC, DELL, HP) 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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Be hands-on with Java, Spring Boot and Microservices (REST API). Familiar with Big Data / Analytics technologies like Hadoop, Spark, Python, Scala. The Marketing Services (MS) Technology team is looking for a Lead Software Development Engineer (Technical lead) to provide technical ownership, with an emphasis on engineering efficiency, on-time delivery and an awesome experience to our customers.
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Hands-on experience with Python or R. Familiarity with SQL, Linux, and/or distributed computing systems such as Hadoop or AWS preferred. Hands-on experience running basic statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, supervised or unsupervised learning.
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On-site and remote troubleshooting and resolving complex technical problems on Supermicro equipment in an enterprise environment. Emphasize break/fix experience and on-site customer service experience.
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Hands-on experience working with technology like queueing systems (Kafka, RabbitMQ, ActiveMQ, MSMQ), Spark, Hadoop, NoSQL (Cassandra, MongoDB), Play framework, Akka library. Data platforms like SQL, Cassandra or Hadoop.
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Oracle EBS App hands-on Administration, Database Tuning, Ansible, Oracle Cloud, DBA on call. Pega, Salesforce, Informatica, TIBCO, CA Service Virtualization, Rally, Quality Center, Service Now, Akamai, Amazon Web Services, Cassandra, Hadoop, MYSQL.
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Strong software engineering skills with deep hands-on programming experience in database programming and design using SQL, PL/SQL using Oracle 19c or better (5-7 years) Experience in BigData (Hadoop) and Exadata is a plus.
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Hands on experience in MapR, Cloudera, Hortonworks and/or cloud (AWS EMR, Azure HDInsights, Qubole etc.) Knowledge and Hands-on Experience in Data Quality and Data Governance.
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Hands on experience of working in the Cloud technologies – AWS/Azure/GCP. Hadoop (HDFS, Hive, Presto, PySpark) Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid.
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Hands-on experience designing, developing and maintaining world class cloud-based data lake/data lake house platforms on modern data architecture, like Data Mesh, using opening source distributed frameworks like Apache Spark, Hadoop etc.
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Hands-on experience with cloud-based data platforms (e.g., AWS, Azure, GCP) preferably GCP and data lakehouse architectures. Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka, Presto, Apache Beam, DBT.
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Proficiency in data engineering tools and technologies such as SQL, Python, Spark, Hadoop, Airflow, Apache Kafka and Presto. Excellent problem-solving skills and the ability to work on complex data engineering challenges.
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5+ years of hands-on experience in building and maintaining large-scale ETL pipelines and in-depth knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
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