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Knowledge and working experience in cloud and data technologies: GIT, SQL, Spark, Druid, Hive, Hadoop, Teradata, and Big Query, Tableau, Power BI and Looker visualization tools. Knowledge and working experience in cloud and data technologies: GIT, SQL, Spark, Druid, Hive, Hadoop, Teradata, and Big Query, Tableau, Power BI and Looker visualization tools.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in SQL, Python, Splunk, Relational DB (e.g. Presto/Teradata). Must have skills: sql, python, hadoop, pyspark, tableau. - Experience in big data platforms (e.g. Hadoop, Spark.
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Mandatory Skills - BigQuery ,Composer, Python/ Java, GCP Fundamentals, Teradata/Hadoop. Good understanding and knowledge of Teradata/ Hadoop warehouse. Familiar with Hadoop ecosystems, HBase, Hive, Spark or emerging data mesh patterns.
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4+ years of experience in Hands on experience developing optimized, complex SQL queries across large volumes of data in both relational and multi-dimensional data sources such as Teradata, Hadoop, and Hyperion Essbase or related.
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Experience with the following technologies: Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan.
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Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop. Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop. Implement Hadoop job orchestration using Shell scripting, Apache Oozie, CA7 Enterprise Scheduler and Airflow.
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Database and Query Languages-Hortonworks Hadoop, Hive, and Pig; Solr; SQL Server; Teradata; MongoDB; ETL and data cleanup; MySQL. Experience working with noisy intelligence and operational data sets from multiple disparate sources to include unstructured, structured and sensor data in many disciplines such as all-source reporting, geographic information systems, biometrics reporting, imagery intelligence, signals intelligence, human intelligence, and open-source intelligence.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.) Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc.
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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. 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 multiple of the following will be highly desirable; Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery. Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud.
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Working knowledge in querying language and tools including (but not limited to) R Studio, SAS, SQL, Teradata, Databricks, and Hadoop. Working knowledge in querying language and tools including (but not limited to) R Studio, SAS, SQL, Teradata, Databricks, and Hadoop.
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Utilize heavy ETL tools and technologies, including but not limited to DataStage, Hadoop, Informatica, Synapse, Talend, Erwin, Pentaho, and SAS in high-volume Data Warehouse/Data Mart environments.
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Senior Data Scientist, TikTok Local Services. Senior Data Scientist, TikTok Experience. Sr Staff Data Scientist - Flagship Applied Science. Senior Product Data Scientist for the Venmo Analytics team who is very strong at generating valuable insights from data through deep dive analysis, experienced at supporting new product launches by establishing test and control plans and ensuring constant monitoring is in place to track product performance.
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Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc. Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Demonstrated experience and proficiency using 4GL programming languages (such as R, Python, SAS, SQL) and other database technology (Hadoop, DB2, Teradata, Oracle). Develop and maintain moderate-to extremely-complex computer programs using 4GL programming languages (such as SAS, R, SQL) and other database technology (DB2, Teradata, and Oracle.
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