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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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Utilizing experience with NLP and text-based extraction techniques;Understanding of how to develop and operationalize data science analytical models so these models can run in an automated context;Understanding of how to map transformation and flow of data from a source to a target system; and,Problem-solving skills and the ability to translate business requirements into data-driven solutions.
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Move easily between big picture thinking and managing relevant detail. We have skilled technologists, data scientists, product managers and business strategists who are using technology to accelerate change.
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Our team designs, develops and programs the methods, processes, and systems that are used to collect all forms of data and develop models that serve predictions to applications, automated process flows, and stakeholders.
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Travel RequirementsUp to 20%Job Posting End DateLearn more about how we work: PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy.
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To help us achieve this we have the PwC Professional; our global leadership development framework. All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law.
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PwC Professional skills and responsibilities for this management level include but are not limited to:Take action to ensure everyone has a voice, inviting opinion from all. PwC is proud to be an affirmative action and equal opportunity employer.
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Our clients expect us to bring the right people and the right technology to solve their biggest problems; Products and Technology is here to help PwC meet that challenge and accelerate the growth of our business.
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To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service.
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As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
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Build trust with teams and stakeholders through open and honest conversation. Uphold the firm's code of ethics and business conduct. Description & SummaryA career in Products and Technology is an opportunity to bring PwC's strategy to life by driving products and technology into everything we deliver.
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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.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Applying knowledge and 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/L&A Insurance data warehouse.
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Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.) Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse.
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big data jobs Company: Pwc in Fernley, Nevada
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