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Special Requirements: Must have 4 years of experience with:Advanced Python programmingOne of the following analytical frameworks: Econometric modeling, Case-control matching, Experimental design, Causal inference (including AB testing), Observational studies, or relatedAdvanced SQL for data extraction, transformation, and manipulationMachine Learning methods: Supervised and unsupervised learning with applications in NLP, Recommender systems, or Measurement.
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To support AB's mission, the AB Operations team owns end to end customer experience for AB customers right from checkout to final mile delivery and sits under the broader Global Transportation Services (GTS.
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5+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis. Utilize tools like SQL, R, Python to execute analyses. Be a champion of AB testing.
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Designing, and developing analytical model using Big Data Technologies like Hadoop, Spark/Scala, Hive, python, Kafka, and the like. Experience with Hadoop (3+ years), Spark/Scala (3+ years), Python (2+ years), Angular (2+ years), Graph technologies (2+ years), Kafka (1+ year.
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7+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis. Bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) Experience in migrating ETL processes (not just data) from relational warehouse Databases to AWS based solutions.
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Grow and support data and analysis requests, using all available data sources, tools, and techniques necessary, including but not limited to SQL, Adobe Analytics, Python, MicroStrategy, Tableau, and R.
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Must be proficient with Ab Initio development. Development experience using Ab Initio. Responsible for development, programming, coding of Information Technology solutions using Python.
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To support our rapid growth, we're seeking a dynamic Principal Data Scientist. At CoreTrust, our mission is to redefine procurement by maximizing value through an efficient on-demand marketplace and community.
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ETL, Ab-Initio, Python, Snowflake. ETL, Ab-Initio, Python, Snowflake. Identifies and effectively communicates upstream and downstream impacts for changes in the data pipeline. Utilizing variety of tools to profile, secure the data in transit and at rest; and to enforce data Governance Controls and Alerting.
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL). Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio). Experience with programming languages like Java or Python services and build highly available environment using proper design patterns.
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Excellent experience working with BASH/KSH, CA7 Scheduling, Jenkins, Talend, Windows Server Admin, Linux, Python. Key Technology: Ab Initio, Teradata, Hadoop, Hive, PySpark, AWS. 5+ years of working experience in Ab Initio and Teradata.
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Hands-on development experience and in-depth knowledge of Java/Python, Microservices, Containers/Kubernetes, Spark, and SQL. Knowledge or experience on ETL technologies like Informatica or Ab-initio would be preferable.
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Familiarity with ETL/ELT tools such as Ab-Initio, DataStage, or Informatica. Familiarity with ETL/ELT tools such as Ab-Initio, DataStage, or Informatica. Hands on experience with Amazon Web Services (AWS) based solutions such as Lambda, Dynamo dB, Snowflake and S3.
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Any experience in understanding requirement related to extraction, transformation, and loading (ETL) of data using Spark on Cloud. Proven knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.
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