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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Data Engineer II - Data Analyst (SQL.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Experience to include working on Azure Data Factory (ADF), Oracle, SQL server, Azure Databricks, Azure Synapse Analytics, Data Lake Storage, Azure PaaS services, SSIS packages, Azure Cosmos DB (SQL API), Python, Spark applications, Azure SQL, SQL queries, Azure Monitor and Alert services, GIT Support, ARM Templates.
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The right candidate will have an advanced degree (Such as CIA, CISA, or CPA), experience with Audit or risk control risk/controls background in financial services, and 4+ years of relevant Audit, Risk, and Data with 2+ years of AML. The department of this position is located in Charlotte, NC but candidates in Dallas, Texas, or Plano, Texas are also welcome to apply.
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Strong knowledge of data formats such as Parquet, Avro, ORC, XML, JSON, data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool) or Databricks, and AI/machine learning infrastructure needs.
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Strong expertise in programming languages - Python, R, or Scala and technologies like Tensorflow, PyTorch, Kubernetes, Spark, Airflow, Kafka and Opensource LLMs. Exceptional programming skills in Python, with popular deep learning and natural language processing (NLP) tools and libraries, including Scikit-learn, Pandas, PyTorch, TensorFlow, or other leading deep learning frameworks, NLTK and spaCy for natural language processing tasks.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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NET, PowerShell Scripting, Python, JavaScript, CI/CD, Data Visualization, SSIS, SSRS, and Git/Azure DevOps. Experienced in managing and optimizing data storage using Azure Data & Analytics Services, Data Factory, Data Lake, DataBricks, Cosmos DB, Synapse Analytics, PowerBI, and MS SQL Server.
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Data mining/programming tools (e.g. SAS, SQL, R, Python) SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data visualization (e.g. Tableau, Looker, MicroStrategy.
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Strong expertise in ETL tools and technologies, such as ADF, Databricks, SQL, Python, SSIS, and SSRS. The Data Engineer Tech Lead will play a crucial role in designing, developing, and maintaining the ETL processes and systems that facilitate data integration and transformation within the organization.
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Build web applications and services using Python, Django, TypeScript/JavaScript, Vue.js, Postgres and AWS. Banks, credit unions, and mortgage lenders nationwide trust Polly's Product and Pricing Engine (PPE), Loan Trading Exchange, actionable data and analytics, and advanced AI/ML to automate and optimize the entire capital markets value chain, helping their secondary teams operate faster, smarter, and more profitably.
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Experience with AWS, Snowflake, Apache Airflow, Docker, DBT, and Python. The ideal candidate enjoys and thrives in working with a variety of data engineering and analytics tools, systems and architectures while working with our product, leadership, and marketing teams across three continents to build high quality, scalable batch and real time data pipelines integrated with our products.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Bachelors University degree computer science/IT. Master’s in data Analytics/Information Technology/Management Information System (preferred) Data Engineer (GCP / Google BigQuery.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. You must be proficient in Python image processing (e.g., Pillow, OpenCV, scikit-image, and ITK.
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bachelors degree python data jobs Title: data analyst specialist in Dallas, TX
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