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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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Preferably, relevant certifications in data architecture and related technologies (CDMP, TOGAF, GCP Professional Cloud Architect, AWS Certified Solutions Architect, Azure Solutions Architect, Snowflake SnowPro Core Certification, etc.
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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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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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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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Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms. About the role: Gen3 is currently seeking a talented Data Scientist to join our team, dedicated to supporting the Internal Revenue Service (IRS) on the ISSM Vulnerability Compliance and Remediation Program.
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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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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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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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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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SQL: 1+ Years (Preferred) Data Warehousing (Snowflake, Databricks, Redshift, BigQuery, Clickhouse, etc). Associate Cloud Data Engineer - Remote. Data Clymer has been a fully remote company since day one, so we will never ask you to commute to work.
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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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Experience building and managing production-grade data pipelines using tools such as Airflow, dbt, DataHub, MLFlow. You'll be part of a close-knit team of data engineers developing and maintaining a data platform built with automation and self-service in mind to support analytics and machine learning data products for the next generation of our T3 Fleet that enable end-users to track, monitor and manage the health of their connected vehicles and deployed assets.
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data job Title: data manager Company: Joveo Us
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