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Possess Data Warehousing principals and architecture patterns to help build reporting data marts in Oracle, Big Data platforms: Hadoop and Cloud data bases eg: Snowflake/Red Shift Experience and working knowledge in extracting data from traditional data warehouse, big data ecosystems and cloud data warehouses to produce critical data for business analyst executives and operational leaderships.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
Full-timeRemoteExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Hadoop, Spark) and data streaming services (Kafka). Professional certifications related to data architecture (e.g., TOGAF, AWS Certified Solutions Architect) are a plus.
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Knowledge in big data and streaming data pipeline architecture (Lambda/Kappa) and K8 cluster. Experience in architecting, designing, building automation, workflows, custom objects/apps, declarative functionality, triggers, migration tools in BMC Helix platform and transition such platform to Open Source is a big plus.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus. Data Processing platforms such as Databricks (or Snowflake) Expertise in Cloud Data Warehouses in Redshift, BigQuery, or analogous architectures is a plus.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Strong skills in Big Data technologies (Hadoop, Spark, Hive) and AWS services (S3, EMR, Lambda, Redshift, CloudFormation). Experience optimizing 'big data' data pipelines, architectures and data sets.
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Proven experience with big data technologies (e.g., Apache Spark, Apache Flink, Apache Kafka) and cloud-based data platforms (e.g., AWS, Google Cloud, Azure). Strong knowledge of SQL and NoSQL databases, data lake solutions (e.g., Apache Iceberg, Big Query), and ETL processes.
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Big Data Integration Engineer - Job Summary The successful candidate will be part of the KBR team supporting the Test Resource Management Center's (TRMC) Big Data (BD) and Knowledge Management (KM) Team deploying BD and KM systems for DoD testing Ranges and various acquisition programs.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficient with Databricks (Data Lakehouse, Unity Catalog, Delta Lake, Delta Share), Azure services (Synapse, Azure Data Factory, Power BI) or AWS tools (SageMaker, Glue, EMR) or GCP (Dataflow, Big Query, Cloud Run) is a plus.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with using real-time and Big Data analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc) You will also implement end-to-end observability and visualize the data to achieve the desired availability at scale.
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Experience with Python, SQL, R, or other common “big data” languages. Familiarity with “big data” best practices for ETL/ELT. Hands-on experience using common oil & gas software (such as Novi, Spotfire, ARIES, ArcGIS) and preparing data for ingestion in industry-specific applications.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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POC for building an embedding store leveraging autoencoders Build frameworks to fast-track model development to deployment lifecycles Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL.
$30 - $40 an hourPart-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in Trust & Safety, content moderation/rating, data labeling, or other compliance fields. The Sr. Program Manager will work closely with their cross-functional counterparts in operations, engineering, product management, legal, PR, content operations, and executive teams to scale operations effectively and think big on improving the customer experience.
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Experience working with data analysis and visualization tools such as MiniTab, JMP, Tableau. Title: Data Scientist / Statistician. Project management acumen and/or experience a big plus, to include schedule management and/or familiarity working within JIRA/Conflunece (Atlassian) suite.
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big data jobs in Austin, Troy, New York
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