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Experience with large scale enterprise applications using big data solutions such as Hadoop, HBase, Spark, Kafka, Airflow, AWS Glue, etc. + Experience or knowledge of basic programming and DB's technologies (SQL, Python, Cassandra, MongoDB, Redis, Couchbase, Oracle, MySQL, Teradata.
$149,400 - $202,200 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Snowflake Cloud Data Warehouse as well as SQL and Azure big data technologies.
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Position requires 5+ years of experience in the following: Agile Software development methodologies utilizing Ab initio, Github, Jenkins, AWS, Big Data platform, Python, Oracle, Teradata, and Spark.
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Role: Big Data Testing. Experienced QA with expertise in Agile Functional, Teradata, Hadoop and Automation testing. Primary Skill: Hadoop/Teradata/Agile Testing (Must have.
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Experience in relational databases such as Teradata or Oracle and big data platforms. Familiarity with big data ecosystems (Databricks, Spark, etc.) Using coding techniques (predominately SQL and Python), aggregates billions of data records to measure customer behavior changes in multiple dimensions (e.g., customer count and value, frequency of purchase, average purchase size, ROI.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, 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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Lead a team queries disparate big data platforms such as Teradata, SQL Server, Hadoop, and AWS. Must have advanced knowledge, proficiency, or subject matter expertise in Data Engineering, Statistical Analysis, and Automation & Reporting.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Data Sources: MongoDB, Cloudera, Teradata, Oracle, DB2. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Big Data Validation Engineer. Nice to have skills ,Teradata,Azure Data 6. Big Data validation (complex file structures and patterns) HiveQL, HDFS, Sqoop, Spark, Strong in SQLs, DataStage, Teradata, DB2, SQL Server, Shell Scripting/Unix, Control M Scheduler.
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Work extensively within the Cloud ecosystem and migrate data from Teradata/Netezza/ similar on-Premise Big Data platforms to Cloud based platforms like Big Query, SQL.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Job Role: GCP Data Engineer.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Google Cloud Platform Data Engineer - Parsippany, NJ - Day 1 Onsite - Need Local. 1-2 years of experience in Google Cloud Platform (especially Big Query). Knowledge of data Modelling, database design, and the data warehousing ecosystem.
Full-timeExpandUpdated 13 days ago - UpvoteDownvoteShare Job
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Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. 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.
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Strong understanding of relational concepts and knowledge of databases like Teradata, Oracle, SQL Server, Snowflake, Google Big-Query etc. Worked in MicroStrategy applications including reports, dashboards/dossiers, data visualization, data discovery, mobile, data marts and cubes.
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