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As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Mentor, lead and train other members of the data engineering team. Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.) Stay current with emerging trends and technologies in the data engineering field, incorporating them into the organization's data strategy.
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Cloud implementation experience with AWS including: + AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge + Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD + AWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager.
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Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are.
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The Lead Sommelier is accountable for providing leadership and direction for the wine programs at all restaurants and bars inside The Ritz Carton-NoMad, following Jose's vision for wine. Responsible for, implementing and directing the overall wine program at The Ritz Carlton-NoMad.
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Demonstrated knowledge and proficiency in extraction and exploratory analysis of data from a wide variety of data sources, leveraging data analysis and data visualization tools and techniques (e.g., SQL, Python, Shell Scripting, RPA, Alteryx, Cloud, Business Intelligence, Tableau etc.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Lead Teachers meet regularly with their grade-level team members and other collaborators in order to address planning curriculum, analyzing data, organizing and developing family communication, discussing and implementing academic and behavior intervention, and academic learning goals for all students.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer. Lead Data Engineer. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event Bridge. Data De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LD.
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Apply data from BSA/AML Compliance Department stakeholders to translate qualitative risk factors into responsive risk models that leverage new technology. · Develop knowledge of new analytical techniques and data sources that provide ongoing risk mitigation, and how emerging data and technology issues may impact the achievement of BSA/AML Compliance Department’s objectives.
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Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain.
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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Minimum 7 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Lead the cybersecurity metrics program, building ways to communicate state of cybersecurity to all stakeholders, include the board of directors. Identify risk owners, empower them with data for decision making, to help the execution of risk action plans, and all open and pending risks.
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Title: data lead Company: Global Fund For Women in Jersey City, NJ
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