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Analytics: Fluent with SQL, PL/SQL and have used analytics tools like Big Query for data analytics. Cloud experience: Experienced in GCP services like cloud function, cloud run, data flow, data proc and big query.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Education: Bachelor’s degree in engineering, Computer Science or a related field; Master’s degree is a plus.
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MarTech and big data knowledge is preferred in the digital space (DMP, digital identity solution, data clean room, CDP, etc.) Strong written and oral communication, data visualization, presentation, and interpersonal skills.
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You will be involved in holistic surveillance build out which will require excellent understanding and hands-on experience in big data (Hadoop - Cloudera stack) technologies like hive, spark, Kafka, Angular JS to architect, develop and support sophisticated analytics pipeline using Machine Learning algorithms.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Our tech stack continues to evolve: Azure Data Factory, Azure Data Lake, Azure Synapse, Power BI, Collibra, Databricks, MLflow, RStudio, Harness CI/CD, OpenShift, GitHub, JIRA. Familiarity with all, and expert in some of the below: Databricks or Spark, MPP databases, ETL, data warehouse design, feature store design, monitoring tools.
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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Certified AWS Big Data Specialty (Nice to have) Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). At the Axtria Data Science Center of Excellence (CoE), we are on a mission to harness the power of AI and GenAI to revolutionize patient outcomes within the life sciences industry.
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The VP, Engineering will l ead scaling the global data and software engineering team s in managing the foundational enterprise data platform and creat ing tools and frameworks that enhance data collection and processing, analytics and artificial intelligence , data dissemination , and governance.
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Strong Knowledge and hand on experience in Master Data Management , Data Quality Management, Data Integration, and Data Warehouse architecture. Design MDM solution frameworks, covering all tenets of Master Data Management , aka Data Change requests, Integrations (API based, batch, etc.
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Big Data Technologies: The data scientist has knowledge of big data technologies like Apache Hadoop, Apache Spark, or distributed computing frameworks. We are looking for someone with experience with AWS Client and AI tooling, along with distributed computing tools such as DataBricks, Comprehend, and SageMaker; data visualization.
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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.
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As a Senior Manager within Axtrias Data Science COE you will have the responsibility to apply AI/GenAI and data science to solve business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing, Medical Affairs and/or Clinical.
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You'll code with machine learning languages like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
$99,900 - $267,570 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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AWS services, big data, data warehouse architecture, Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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big data jobs Title: hadoop consultant Company: Kpmg in Whippany, NJ
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