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You will leverage your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks to ensure efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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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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Experience with big data analytics, machine learning, artificial intelligence, or anomaly detection. Experience with using Cribl to collect, transform, route, manage, and optimize data for ingestion into Splunk.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Maintain relationships with data vendors and platform providers: Broadridge, FactSet, MSCI, Russell, eVestment, Assette, Morningstar. Excellent data management skills, with particular emphasis on FactSet, Bloomberg, Power BI, VBA, Microsoft Excel, SQL, and Python.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop and maintain infrastructure for effective data extraction, transformation, and loading (ETL) utilizing AWS and SQL technologies, streamlining data processing workflows. Familiarity with dbt for data build tooling.
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Bachelor’s Degree in Mathematics, Computer Science, or related coursework, or 3+ years in a Data Analyst/Data Mining role. The HMIS is the central database to collect, track, analyze and report uniform client and activity data regarding the provision of shelter, housing, and services to individuals and families experiencing homelessness or who at risk of homelessness within the Contra Costa CoC region.
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Four years experience working in technical data analysis, data science, or data warehousing, preferably in a transportation-related field. Provide the Commercial Motor Vehicle (CMV) Program Coordinator with actionable insights and analysis reports based on data, to support decision-making efforts toward program oversight and monitoring goals.
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Bachelor's degree from an accredited college or university in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, or Public Health that included a minimum of 12 semester or 18 quarter units of coursework in data science, predictive analytics, quantitative research methods, or statistical analysis.
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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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Citibank, N.A. seeks a Data Science Lead Analyst for its Jersey City, New Jersey location. 5 years of experience must include: Data analytics and statistical analysis of financial risk data; Policy and regulatory analysis; Data analytics tools including: R, Excel, and PL/SQL; Anti-Money Laundering (AML) and Know Your Client (KYC) guidelines; Oracle and relational databases; and User Acceptance Testing (UAT) and defect management.
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Work with EI group to maintain and improve data interfaces between Advancement and other campus products, including Banner, Slate, SalesForce, and Ellucian Experience, among others. Improve data flow within internal Advancement systems (CRM Advance, phonathon, endowment, alumni portal, Hivebrite.
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Job Summary: The Data Management Specialist will be responsible for managing and optimizing our organization's data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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data job Title: data science Company: Booz Allen Hamilton
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