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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Implement concepts of Big Data(Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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Perform architecture review of data analytical solutions using Qlik Sense. Designing data models in Qlik Sense to accommodate the application requirements. Extract, transform and load data from multiple data sources into the Qlik application.
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The individual will also partner with the role's line manager, the Global Communications Leader, Data Science and Precision Medicine, to profile the Innovative Medicine sector's efforts to advance progress toward precision medicine and leverage artificial intelligence (AI), machine learning (ML), real-world evidence (RWE) and digital health to drive our innovation and deepen our patient impact.
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Integrate multi-modal data sources (genomics, proteomics, imaging) into cohesive pipelines. Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL.
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Proficiency in metadata and data quality tools like Atlan, Collibra, Informatica, Alation, Atacama, Talend, etc. Lead the customer success and enterprise data stewardship team to drive data governance adoption, working with data stewards across divisions to embed governance practices and enhance data-driven culture.
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Successful candidate will see the big picture to act in the capacity as the Data Team's Product Owner in building our data capabilities within our data management practice of simplicity, efficiency, quality, agility, reliability, resiliency and maintainability.
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Experience with high volume data processing using Snowflake , Redshift, Databricks, and other relevant cloud technologies and designing solutions for reliability and performance at scale. Work on Data Modelling for both Snowflake and Teradata.
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Familiarity with ETL data engineering techniques using PySpark within Databricks/Snowflake preferred. Degree in Engineering, Statistics, Applied Mathematics or Data Science preferred. Ingredion is hiring a Data Scientist who will be part of a multidisciplinary team focused on establishing In Silico experimentation capabilities and Artificial Intelligence technologies for product innovation.
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You will be working with our creative team to come up with new angles, big ideas, and ultimately drive creative strategy for our clients. You'll work within a pod of videographers, copywriters, strategists, and data scientists to plan each client, forecast the targets we need to hit, script & direct each creative, then launch and work to hit forecasted targets every single quarter.
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Bachelor’s or foreign equivalent degree in Accounting, Finance, Economics, Computer Information Systems, or a related field and 5 years of experience in data analysis, data integration, and using SQL, Unix, and Linux.
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Support Daiichi Sankyo internal business departments, data steward, and sourcing partners with the following activities: capacity planning, problem management, impact of application issues and overall application (s) stability and associated delays (incident management), operational support for data exchange, integration and data loads, communication on issues and resolutions to DSI.
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Experience as a technical solution architect - designed and implemented Data Governance solutions for mid to large scale organization. Hands-on experience and proficiency in Data Governance tools like Informatica IDMC, Collibra, and Alation across all DG capabilities, aka, Data Catalog, Metadata Management, Glossary, Lineage, Data classification / Access / Security, Data Marketplace.
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Driving Scaled Agile delivery, working in partnership with the Product Owner and Solution / Data Engineer roles to manage risk in the backlog. Serve as the Release Train Engineer (RTE) for the WMS replacement initiative, overseeing the agile release train (ART) and ensuring alignment with our mission to deliver life-saving medications.
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Keywords: ETL sql ssis informatica dwh data warehousing banking financial azure snowflake databricks ELT market risk jira confluence tidal django flask pyramid tornado pytest pylint. Direct experience of building Data Pipelines using Azure Data Factory and (preferably Databricks.
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big data jobs Title: big data architect Company: Optello in Warren, NJ
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