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2+ years of experience in at least half of the following areas: networking (routing, switching, firewalls, ADCs/LBs, DNS), database (Oracle, PostgreSQL, MS SQL, MongoDB, Cosmos, Hadoop, Redis) and data management technologies, coding (Python, R, Java, Go, Node.js), deployment orchestration tooling (Ansible, Terraform, ARM, or similar), development frameworks (Spring.
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SKill: 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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Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and Hadoop ecosystem. Expert Relational database concepts and experience across multiple database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Postgres) environments.
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Knowledge of data technologies such as SQL, Apache Hadoop, Spark, Airflow etc. Cloud Architect Senior– Remote – Washington, DCAbout usCreative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation.
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Data Platforms – Hadoop, Spark, Oracle, Exadata, SQL Server, DB2, MongoDB, Teradata, Splunk. As a Senior Cloud Data Architect, you will be responsible for designing secure and scalable architecture solutions to safeguard our organization’s critical information assets.
$70,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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1+ years’ experience in Big Data Distributed ecosystems (Hadoop, SPARK, Unity Catalog & Delta Lake) 1+ years’ experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc.
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Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. We are seeking a remote experienced and highly motivated Cloud Data Lake Architect with extensive experience in AWS and data lake technologies.
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Knowledge and proven use of contemporary data mining, cloud computing, and data management tools: Microsoft Azure, AWS Cloud, Google Cloud, Hadoop, HDFS, MapR, and Spark. Experience working with both structured and unstructured data sources using cloud analytics platforms (e.g., Cloudera, Hadoop.
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Architect and design big data storage and analytic solutions on Hadoop-based platform, create custom analytic and data mining algorithms to improve performance. Strong experience with Hadoop, (HDFS), Spark, Kafka NoSQL, Cassandra, HBase, S3 protocol, ObjectStore and with processing large data stores.
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Expertise in cloud platforms such as Microsoft Azure and analytics engines like Spark or Hadoop. Job Description:Solution/Data Architect with Cloud, Analytics, and Rules Engine exposure is responsible for leading and implementing modernization initiatives of analytics solutions.
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Experience must include two (2) years of experience in data mining and development of ETL processes; distributed data architectures and big data processing technologies such as Spark, EMR, Hadoop and Hive; and Realtime Frameworks, collection, and processing Realtime data using kinesis Data Streams, KCL, KDA and Firehoses.
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Innova Solutions is immediately hiring for a Snowflake Architect (Tech Lead -Snowflake, Hadoop)Position type: Onsite (3 Days client location per week)Duration: 10 Month +Location: St. Louis, MO,United StatesAs a Snowflake Architect (Tech Lead -Snowflake, Hadoop) you will: Experience in Migrating Hadoop/Greenplum Systems to Snowflake.
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FHIR Expertise: Strong hands-on experience with FHIR API protocols and standards, including the design and deployment of FHIR-compliant APIs. Data Lake Proficiency: Extensive experience in designing, building, and managing data lakes on cloud platforms (e.g., AWS, Azure, Google Cloud) and familiarity with associated technologies (e.g., Hadoop, Spark.
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) Create information solutions covering data security, data privacy, metadata management, multi-tenancy and mixed workload management across Hadoop and NoSQL platforms, spanning on-premise and Cloud based deployments.
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Hadoop platforms & distributions: Cloudera, Hortonworks, MapR, EMR. Design and implement scalable data architectures leveraging Hadoop, NoSQL and emerging technologies, covering on-premise and cloud-based deployment patterns.
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hadoop job Title: architect
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