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Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive or Impala. Build Hadoop-based data management applications. Loading and managing large data in Hadoop.
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Database development experience using SQL, SPARK, PL/SQL and SnowSQL and experience with a variety of relational, NoSQL oriented databases like Hadoop, MongoDB. Strong experience in data curation/aggregation/preparation using Azure Data lake, Azure Data Factory, DBT and distilling data into meaningful insights with hands-on expertise on Azure and Snowflake/Databricks.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of big data technologies such as Hadoop, Spark, or Kafka. Certifications in AI or cloud technologies, such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, etc.
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Own back-end services like our Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between. Experience learning development languages (PHP, Python, C.
$173,000 - $241,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.) Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Knowledge and/or experience working within the Hadoop or other big data distributed ecosystem. 2+ years of SQL programming experience preferably with databases such as Oracle Exadata. Experience in Quartz( Internal bank platform) would be preferred but optional.
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Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more.
$160,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Leverage analytic tools and platforms in support of data evaluation and management activities, e.g. Tableau, Dataiku, Snowflake, Hadoop, Spark, SQL to evaluate data coverage, quality, interoperability, and fit within Pfizer's existing data ecosystem.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Maintain and develop applications for storage, computational, and virtual servers on a Linux operating system utilizing SQL, Oracle, NoSQL, Hadoop, and programming languages, including C. C#, Shell Script, Python, and SQL; utilize virtualization environments to create and manage virtual machines, including VMware ESXI and Virt-Manager; integrate Network Attached Storage (NAS) and Storage Area Network (SAN) devices; perform data security through connections to internal and external networks; utilize software systems including, Linux/Unix, Windows, and MacOS; build and configure hardware and server components.
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Own the project during phases from initiation, development, unit testing to QA, UAT, Staging and ProductionSkills: Fluent in Python and related technologies (Pandas, NumPy) Bachelor degree, Master’s preferred in Statistics/Engineering/Computer Science Strong Analytical and problem solving skills Experience with pricing and risk calculations of various asset classes Experience working within the Spark/Hadoop or any big data distributed ecosystem 21.
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Must have hands-on expertise in Cloud Computing (Azure, AWS), Big Data Processing using Oracle, Hadoop/HBase/Kafka/Spark of Data PlatformsMust have strong technical knowledge, wide range application architectural, development and database technologies, tools, Hive, Spark SQL and Spark with Python, Java etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of distributed computing frameworks (e.g., Spark, Hadoop) and big data processing technologies. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes.
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Title: Hadoop Developer. Expertise and demonstrated experience in Hadoop ecosystem components: HIVE, HDFS, SPARK. A key contributor to development initiatives that require Hadoop technical expertise across numerous components.
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Experience with machine learning on computing systems such as Hadoop, MapReduce, or similar environments. 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
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hadoop job in New York, NY
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