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Experience with big data tools (Cloudera, Hadoop, Spark, Map Reduce, NiFi, Sqoop, YARN). Experience with AWS cloud services (S3, EC2, EMR, Redshift, Glue, CloudWatch, Lambda, Athena) •Experience with CI/CD data pipeline orchestration tools (Jenkins, Airflow.
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Intermediate to Advanced skills in data analysis and data governance tools (e.g., SQL, SAS, TOAD, Python, Hadoop, Teradata, Databricks, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.
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Minimum of 5 years of experience in IT compliance, Data Governance, risk management, and technical security, with a strong focus on PCI DSS. Lead PCI DSS (Payment Card Industry Data Security Standard) compliance efforts, including annual assessments, audits, and reporting.
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Support Data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Cloud Storage, Big Query, Dataflow, Composer etc. Design, develop, and maintain scalable data pipelines and ETL processes using Google Cloud Services, particularly Cloud Composer and Dataflow.
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AlliedTravelCareers is working with National Staffing Solutions to find a qualified Occupational Therapist (OT) in Big Spring, Texas, 79720! OP opening in Big Spring, TX: Anticipated Start Date: 04/08/2024 Anticipated Pay Range: $0.00 - $0.00 Anticipated Duration of Assignment: 13 Weeks Anticipated Schedule: Varies At National Staffing Solutions, we have the privilege and honor of working with dedicated healthcare professionals that make a positive impact in aiding those needing healthcare services across the U.S. every day.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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Joe Vs , the small store that offers BIG savings, creates possibilities for our Customers and Partners to live a more enriched life by providing the lowest prices and highest wages. Joe Vs Smart Shop is a Division of H-E-B, the largest independent food retailer in Texas.
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Analyze data and identify trends and key findings in both qualitative and quantitative data sets from various systems, including Yardi, the Company's internal Enterprise Data Warehouse, Salesforce, Anaplan, ADP, and various other systems.
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Job Title: Data Engineer – ETL Testing, Cloud Migration & Python Location: Dallas, TX Interview Process: In-Person Interview Profiles Required: 8-10 Job Description: Our Esteemed Client is looking for experienced Data Engineers with strong skills in ETL Testing, Cloud Migration, and Python programming in an AWS environment.
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We're helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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Proven experience as a CEO, CIO, CTO, COO, CFO, President, Senior VP who is experienced in running P&L business unit of big US company. Keywords:Dallas TX Jobs, Chief Executive Officer, CEO, Chief Technology Officer, CTO, Chief Operations Officer, COO, Chief Information Officer, CIO, Chief Financial Officer, CFO, President, Senior Vice President, P&L Statements, Profit and Loss Statements, Mergers and Acquisitions, M&A, Financial, Business Administration, International Business Experience, Technical Services, Texas Recruiters, IT Jobs, Texas Recruiting.
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Hands-on experience with data engineering tasks such as data pipelines, ETL processes, and working with big data technologies like Spark. As a Senior Machine Learning Engineer specializing in NLP and LLM-powered models and microservices , you'll play a key role in shaping and delivering ML-powered products that transform how we process and extract insights from unstructured data.
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Work with various big data platforms (such as AWS, Redshift, BDT, etc. Minimum requirements: BS/MS Degree in Business Analytics, Financial Engineering, Finance, Economics, Engineering or other highly quantitative/analytical field 3+ years of professional experience in SQL querying, and BI/reporting development with large and complex data set (Looker, Tableau, or Power BI) 2+ years of experience in financial analytics or quantitative modeling driving business decisions Experience in translating business requirements to Data Warehousing and ETL needs.
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big data jobs Title: driver in Dallas, Dublin, Ohio
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