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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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10+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics Data Design Generative AI AI/ML ML Ops 3+ years of experience using Python.
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Experience with: Open source and commercial research related software, Python, R, Matlab, Mathworks, Julia, Ansys, Intel, nVidia cuda and GCC compilers. Solid understanding of data center operations fundamentals in networking and power Extensive Linux administration and networking skills are highly required.
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Build ETL pipelines to clean and transform transactional data using Python, Alteryx workflows, SQL, and UNIX shell scripting to ensure effective real-time reporting capabilities. Master’s in Computer Science, Computer Information Systems, or Management Information Systems plus three years of experience in software development using Python, Alteryx, SQL, OTBI reporting, Oracle BI Publisher, Oracle Fast Formulas, HCM Extracts, SOAP, REST API services, Workday HCM Modules, Workday Studio, Enterprise Interface Builder (EIB), Workday Report Writer, AWS Application Integration, Tableau, Excel, and JIRA. Excellent communication (oral and written) skills are also required.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) 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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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Working with machine learning and natural language processing libraries such as: scikit-learn, tensor flow, keras, numpy, pandas, CoreNLP, spacY, nltk, pyTorch, NetworkX, or genism; and Building data pipelines and deploying ML models and data visualization techniques.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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Job DescriptionWe are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
$41.6 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ARRT-R Radiography (ARRT-R), Cert Cardiac Device Spec (CCDS), Cert EP Specialist (CEPS), Medical Radiologic Tech (MRT), Reg Cardio Electrophysiology (RCES), Reg Cardiovascular Invasive Sp (RCIS): Must meet one of the following:American Registry of Radiologic Tech(ARRT-R) and MRTnthru TX Medical Board, or Cardio Invasive Spec(RCIS), or Reg Cardiac Electro Spec(RCES), or Cert Electro Spec(CEPS), or Cert Cardiac Device Spec (CCDS.
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What You BringStrong data analysis expertise with the proven ability to independently answer complex questions involving combining large data sets using a variety of SQL tools and database technologies (examples: Databricks, RedShift, Athena, BigQuery.
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Responsibilities: Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R& D to drive discovery of new generation mobility products.
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Tipalti is the only company handling both global partner payments and accounts payable workflows for high-velocity companies across the entire financial operations cycle: onboarding and managing global suppliers, instituting procurement controls, streamlining invoice processing and approvals, executing payments around the world, and reconciling payables data across a multi-subsidiary finance organization.
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Preferably 5 days onsite in Plano TX, but can be open to hybrid Required Skills : PySpark ML, AWS, Databricks, TensorFlow or Pytorch Job Summary: We are seeking a highly skilled ML Engineer with 9 to 12 years of experience in Machine Learning, AWS, Spark, Data Science, and PySpark ML. The ideal candidate will drive digital transformation and data engineering initiatives, ensuring robust and scalable solutions that align with our company's strategic goals.
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