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Proficient in Python, Pandas, Scikit-learn, SQL, Tableau or PowerBI, good knowledge of big data processing tools like Hadoop, Spark, etc. Proficient in Python, Pandas, Scikit-learn, SQL, Tableau or PowerBI, good knowledge of big data processing tools like Hadoop, Spark, etc.
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Cassandra / Redis / NoSQL / Hadoop; Kotlin / Scala / Python / Golang / R; Proficient in Java 8, familiar with Java multi-threading, high concurrency, IO / NIO, network communication, etc. International clearing and settlement / foreign exchange transactions.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge of Python/R, Web development (Front end and Back end), Software ecosystem (Hadoop), knowledge in database (SQL), statistical knowledge or relevant programming knowledge will be advantageous.
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As a Sr. Platform Technical Support Engineer, you will provide technical support for Spark Platform related issues and resolve any challenges involving the Databricks unified analytics platform.
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Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Databricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool etc.
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Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc. Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive,Flink, FlinkSQL,Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch etc.
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Experience with big data technologies such as Hadoop, Spark, and Kafka. We are seeking a highly skilled and experienced Data Engineer with a strong background in the oil and gas industry. Proven experience as a Data Engineer, with a focus on the oil and gas industry.
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