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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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The South/NW Regional EHS Manager is responsible for implementing Aligned corporate safety policies, programs, and requirements for Aligned construction projects and established data center operations.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Develop and oversee a comprehensive data architecture, aligning with business goals and integrating technologies such as Azure, Databricks, and Palantir to craft a forward-looking data management and analytics landscape.
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Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage. We are seeking a skilled Data Engineer with extensive experience in DBT, Snowflake, and Azure, along with proficiency in Python and SQL. The ideal candidate will have a strong understanding of data modeling principles and a proven track record of developing robust data pipelines and architectures.
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Participate in the implementation and maintaining of network security measures, including firewalls, intrusion detection systems, access controls, and encryption, to safeguard sensitive data and ensure compliance with industry standards.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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We are seeking a highly experienced Senior Data Engineer with a deep understanding of PySpark using Databricks or AWS Glue or AWS EMR and cloud-based databases such as Snowflake. 5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake.
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Process streaming data by developing real-time data processing and streaming analytics solutions with Apache spark streaming and structured streaming in DataBricks. Optimize data processing and performance using partitioning, indexing, and caching techniques within DataBricks and PySpark environments to enhance data processing and query performance.
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SiriusXM is looking for a Data Engineer to join the Marketing Analytics & Technology team. As a Data Engineer, you will collaborate with departments across the organization to build data transformation pipelines, your responsibilities will include supporting the development, maintenance, and operational stability of data engineering and analytics infrastructure.
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Citibank, N.A. seeks a Data Analytics Lead Analyst for its Irving, Texas location. Design the applications data structure for the access of Business users performing CICS transactions. Write complex database queries on PL/SQL and Hive to analyze a Projects impact on the existing application data.
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Required or Acceptable Job-Related Experience : Data manipulation and visualization experience via Tableau / Power BI, SQL, Advanced Excel. The Sr. Analyst accomplishes this by utilizing the power of visual analytics via Tableau and the Signet customer Data Lakes (CRM/CDP) to pull actionable insight out of disparate datasets.
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We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing. Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning.
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Qualifications Required Qualifications: 5+ years of experience writing advanced to expert level SQL within database systems such as SAP HANA, Google BigQuery, Teradata 3+ years of experience with common data mining/wrangling technologies such as Alteryx, Talend, Trifacta 3+ years of experience analyzing large data sets with a focus in finance or insurance.
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Strong proficiency in Java Stack programming with expertise in the Spring Boot framework, Apache / Tomcat, Apache Maven, Apache Spark, API Concepts and Methodologies, API Security, Camunda, Cloud Automation, Cloud Computing, Cybersecurity, Data Engineering, Database Design (Physical), DevOps, Java and Related Technology, JavaScript, Linux.
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trax data jobs in Irving, TX
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