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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.
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Ensure compliance with industry standards, codes, and regulations governing data center construction, including environmental, health, and safety requirements. Proven leadership experience overseeing large-scale data center construction projects, including colocation facilities and in-house constructions.
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Five (5) years of experience must include: Informatica AXON; EDC; IDQ; Collibra; Implementing Data Quality frameworks, metadata management solution and data governance solutions; AWS, big data technologies, python and databases; Overseeing projects and programs with a focus on delivery; Data management; Data Governance strategy; Presentation Skills; Software Design and Architecture; Project/Program Management; Stakeholder Management.
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To thrive in this career as a Principal Data Scientist (Generative AI) for the Innovation Labs team, you will apply your knowledge of Python and other object-oriented programming languages to ADP projects.
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Strong knowledge and experience with relational, non-relational and big data databases such as Oracle, MongoDB, PostgreSQL, MSSQL, DB2 z/OS, DB2LUW, Teradata, Hadoop, etc. Unique opportunity for the ideal candidate with 3+ years' experience in and understanding of Database and Big Data environments with affinity for cybersecurity/vulnerability and risk management.
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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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Implement Data Quality frameworks, metadata management solutions and data governance solutions. Responsible for working with business leadership and leaders within Data and Analytics Engineering to define and drive the implementation of overarching data governance strategy and architecture that will align organization's Chief Data Office's vision to manage ADP's data.
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Development : Develop custom applications, scripts, and integrations using Oracle EPM tools such as Hyperion Planning, Essbase, Financial Management (HFM), Data Relationship Management (DRM), and Financial Data Quality Management Enterprise Edition (FDMEE.
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Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data. Experience working with data management projects having experience in data analysis, data governance, data quality and lineage.
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Providing oversight and guidance by utilizing your extensive experience with the implementation of Data Integration tools, such as SnapLogic, Mulesoft, Databricks, AWS Kinesis & Glue, Azure Data Factory, Informatica Cloud, SQL, Python/PySpark, Jupyter Notebooks and similar technologies.
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Lead annual market strategic planning sessions utilizing data analysis, market intelligence, CRA performance metrics and charitable giving to ensure the establishment of CRA market objectives. Manage complex projects related to community development and volunteerism, partnering with CRA Administration on CRA examination data gathering.
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Establish and maintain robust master data governance and management processes to ensure data integrity and consistency. Minimum of 5 years experience & in-depth knowledge of Master Data Governance and Management principles.
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Strong knowledge and use of Syndicated Data (Nielsen/IRI, Spectra, Panel Data, A&Us). Use data gathered through research/analysis to develop category 4Ps strategy for Customer implementation.
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Be upbeat, friendly and not too shy to be on camera - video is a big part of how we communicate with our clients, marketing, and social media presence. Be coachable, open and dedicated to personal and professional growth, as mentoring and training are a big part of our program.
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As a member of the team, you will deliver business solutions in the areas of CB Regulatory Reporting within the Commercial Lending Domain Authorized Provisioning Point (IHUB/WCDIR) as one of the firm’s strategic data sources.
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big data jobs Title: hadoop Company: At T in Whippany, NJ
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