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Big Data analytics, machine learning, and statistics (Spark, Scala, R, etc). Security, access control, identity and access management (IAM), and data privacy/governance (OAuth, RBAC, SCIM, encryption, etc.
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Experience in supporting database technologies - Oracle, DB2, Teradata, Hadoop, MS SQL Server, PostgreSQL, GCP Big Query. GCP Big Query, Master Data Management. Job Title: GCP Data Architect – Google Cloud.
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Strong SQL and RDBMS skills (Oracle, Teradata, Redshift, SQL Server, etc); comfortable working with sample code. Strong familiarity with data ingestion/pipelines (ELT, streaming, etc.) Data and application marketplaces, including producers/providers, consumers, and marketplace listings.
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & GitHub.
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In the subject line of the email please include: First and Last Name GCP Data Architect – (MI). Master Data Management. Knowledge of Data Analytics, Google Cloud Technologies. Perform data quality analysis, identify issues, and propose solution to resolve them.
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Experience in supporting database technologies - Oracle, DB2, Teradata, Hadoop, MS SQL Server, PostgreSQL, Big Query. The position requires a strong architect with comprehensive knowledge of data architecture, hands on experience in data model design, data quality analysis and good understanding of data analytics architecture.
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As Information / Data Architects, the candidate will work with enterprise architects, solution architects, business, and product teams to create strategy, design data models, information flows, perform data quality analysis, set standards, best practices, and guide product teams in implementation of the design.
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At least one year of experience and proficiency in coding (e.g., Python, Tensorflow, Spark, or Scala) and big data technologies (e.g., Hadoop, Teradata, AWS cloud, Hive). Utilize cutting-edge machine learning approaches and construct sophisticated machine learning models including deep learning architectures on big data platforms.
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The position requires a strong foundation in Big Data with knowledge of Python and SQL query language. The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery.
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Programming experience on Java, Hadoop / Big Data, Teradata, Hadoop and Netezza, Microstrategy , Tableau experience a plus. Experience in multiple database platforms is preferred: SQL Server, Oracle, Exadata, Big data.
$68 an hourExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience and/or exposure to Databases (such as Oracle, MS SQLServer, DB2, HANA, Teradata), Big Data (Hadoop/Spark); Informatica, DataStage, Composite, Tableau, Microstrategy, ERwin, PowerDesigner and other data modeling, integration and management tools.
$73.68 an hourFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Possessing work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$232,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud) Senior Data Scientist for the Venmo Analytics team who is very strong at generating valuable insights from data through deep dive analysis, experienced at measuring product experiments by establishing test and control plans and ensuring analytics support for new product/feature launches to constantly monitor product performance.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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2+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR.
$264,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Based on the different work streams that are part of this role, this person would specialize in key aspects of data management, including Conceptual, Logical and Physical Data Modeling; Master Data Management; ELTL/Data Virtualization/Data SOA, Lineage and Metadata Management, BI/Reporting/Analytics.
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