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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Skills Needed: Blend Between Technology Consulting & Engagement Management Within Data Solutions Ideally someone who comes from consulting background, no specific industry needed Someone not far removed from Modernized Data Environments & Tech This person is Not an Architect, Engineer or Delivery Manager, but most likely used to be pre leadership Not looking for an Account Manager, Business Development Director or Project Manager 15+ Years Of Exp Min.
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The Data QC senior manager will provide quality support and guidance related to laboratory activities and will play an integral role in the identification and management of quality issues with support from the compliance group.
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PubSub - Data Form - Data Flow - DBT - Airflow - Astronomer - Kafka. Google Cloud Platform - Data Engineering - Data Warehousing - Data Modeling - RDBMS - SQL - Python - ETL.
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry.
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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America's First Smart Network.
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As a Senior Lead Engineer in Finance tech you will be responsible for working collaboratively across Finance, Capital One Lines of Business and Enterprise Functions to develop patterns, playbooks and tools to support standards, create and review target data models in support of Finance and Enterprise goals.
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The DGPP is responsible for preparing and leading the implementation of a strategic direction for data management within WSP. The Program functions at an executive level within WSP, reporting to the Chief Information Officer (CIO.
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Experience: 5 years of technical experience performing ETL development; developing and scheduling batch jobs; developing UNIX Shell Scripts for data validation and reconciliation; designing relational and dimensional databases; performing data integration in AWS using Python and HIVE; developing Python data integration and validation scripts; and performing real-time data integration using messaging queue(MQ.
$146,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working knowledge of unity catalog and data governance principles. 4-6 years of hands-on data engineering experience. Experience with ingesting various source data formats such as JASON, Parquet, Sequencefile, Cloud databases, MQ, Relational databases such as Oracle.
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Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Strong communication skills to explain and evangelize Data Security to senior leaders across the company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$232,000 - $313,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Design and build infrastructure for optimal extraction, transformation and loading of data from various data sources (e.g., AWS tooling, Databricks, DBT, Snowflake, Temporal, and SQL technologies.
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The People Analytics Manager provides critical data interpretation and insights to support HR strategy needs. The People Analytics Manager is responsible for the transformation of the HR reporting, metrics, governance, analytics, and data integrity efforts, leveraging various data analytics platforms to present data accurately and intuitively.
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Requirements: Requires a Bachelor’s degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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data job Title: senior manager Company: Takeda Pharmaceutical
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