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The Data Engineering Manager will play an integral role in developing and expanding a nascent core capability for the company by overseeing the acquisition, quality assurance and delivery of large volumes of data in support of the Newell Central Analytics team.
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Examples of problems you will help solve alongside the Newell analytics and data science teams include determining optimal product assortments and next generation products, reimagining consumer engagement with personally relevant content, trade and promotion optimization, and several forecasting efforts as Newell continues to integrate its several businesses into a streamlined, highly efficient, unified corporation.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Manage data ETL to analyze the state of our clients’ businesses across a variety of systems, channels and data sources (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity.
$95,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in one of the public cloud providers – GCP, Azure, AWS.Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Extensive experience with data warehousing and data lake technologies (e.g., Snowflake, BigQuery, Redshift) - Proven proficiency in data pipeline tools (e.g., Apache Airflow, Apache Kafka, Apache Spark.
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You will gain exposure to many facets of the ABS and RMBS spaces, combining information from a variety of sources (loan-level transaction data, deal documents, trustee reporting, etc.) You are able to identify key metrics and transactional details on financial statements, investor reports, and securitization trustee reports and are not afraid to get your hands dirty by diving into loan-level data.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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The successful candidate will collect, aggregate, analyze, and visualize customer, product, and transaction data, developing reports and performing analysis to enhance BSA/AML tools and systems, including AML transaction monitoring.
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Proven experience as a Data Engineer with a strong emphasis on data virtualization, SQL programming, DevOps practices, Python, and Databricks. Proficiency in Databricks for distributed data processing, analytics, and machine learning on big data.
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The Asset Management Quant Research Engineering team is looking for a Vice President of Data Engineering who wishes to take on the challenge of building a world-class data operation. Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
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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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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
Full-timeExpandApply NowActive JobUpdated Yesterday
Title: data Company: The Lubrizol in Hoboken, NJ
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