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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Prior to Nutanix, I founded a VC-funded start-up in AIOPs space and did a PhD in the area of data center operations management from Georgia Tech. I hold a B.Tech. from IIT Kharagpur. Expert in Python especially in AI/ML libraries such as PyTorch, Tensorflow, Sklearn, LLM tools such as Spacy, and data engineering tools such as Pandas, Numpy, Spark.
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Cloud Data Platform Migration: Collaborating with clients to assess, plan, and lead the migration of their existing data platforms to cloud solutions, ensuring an efficient and cost-effective transition.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Additional duties are to provide system administration tasks for all DCIM systems which are comprised of EPMS’s, BMS’s (Building Automation Systems) and SCADA (Supervisory Control and Data Acquisition Systems.
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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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The Data Architect will use their skills and experience of technologies including Kubernetes, Kafka, Airflow, Linux, AWS and Python to spearhead the evolution and enhancement of their existing data infrastructure, as they scale up the adoption of their software as a medical device product.
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Experience with SQL, Python, Data Warehousing, DBT, Airflow and Kafka. You have experience with Data Warehousing, Airflow, AWS, Kafka and dbt. At least 5+ years of data engineer and/or software development experience.
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TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. #Online #Data #Analyst #Remote #Opportunity.
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Proactively seek input from team members across different disciplines to enhance the quality and effectiveness of data solutions, recognizing that diverse perspectives lead to better outcomes.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- 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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Description: Job/Position People Analytics Data Engineer & Enablement Hybrid, 5 days 1 month, the rest as per needed Location: Lexington, MA or virtual OBJECTIVES/PURPOSE (3-4 bullets) Reporting to the People Analytics BI & Innovation Lead, and as a key member of the Global HR People Analytics team, this individual will be responsible for enabling the democratization of data within the people analytics team.
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Lead discussions with ISSM stakeholders to gather requirements, identify automation opportunities, and define data taxonomy objectives. Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms.
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Strong technical proficiency to contribute to data engineering task in an AWS and Databricks ecosystem. You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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Institutional Research focuses on providing decision support in areas related to planning, policy development, and institutional effectiveness, among other and generally addresses mandated reporting, data and research requests, and external surveys.
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data job Title: operations lead Company: Capgemini Holding
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