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The Enterprise Data Architect must be able to work with BA’s to translate data flows into blueprints. East Tennessee company is seeking an Enterprise Data Architect to join their growing team.
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AWS Data Architect. Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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As an AVP Enterprise Data Engineering, you will set the direction and vision for the technologies that support various business units at Pacific Life. You will manage the architecture, design, development, and implementation of data solutions that satisfy the business requirements and fit the data strategy.
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Should be able to suggest, architect and implement Data Lake/Lake house/ DataWarehouse solution with a set of available cloud tools and programming. Data Migration, Integration, API’s development, Data Streaming ( Batch and continuous) and scheduling.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. 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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Design and implement automated solutions for data normalization and taxonomy management using tools such as Python, R, SQL, and automation platforms. 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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Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders.
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Senior Data Architect. You will have a technical and business understanding and thought leadership on approaches to industry leading deployments of Data Lakes, Data Warehouses, Data Marts, and the progression of data from raw/bronze to curated/gold environments with an interest in all tools/technologies including Python, Matillion, Snowflake, Databricks and Azure.
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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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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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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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Good exposure on Enterprise Data Lake (Delta Lake) and Data Warehouse concepts Experience in Dev Ops and CI/CD – Jenkins, Terraform (Azure) and containers (Docker) Should be hands on engineer with experience in multiple data engineering technologies (Spark/Kafka/ADF/Databricks) as well as the standard dev-ops technologies and processes (CI/CD- Containers, Jenkins etc.
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Reporting directly to the Director of Performance, the Workforce Data Analyst will perform data research, analysis, interpretation and reporting related to the functions of the organization, the regional workforce development system, and the local labor market, ensuring that stakeholders have current information to enhance decision-making.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Advocate for and implement standard processes in data management, security, and governance within the Databricks ecosystem. Work closely with data engineering, data science, and IT security teams to define standard processes for the use of the platform.
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data job Title: enterprise data architect Company: The Judge Group
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