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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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With minimal guidance, write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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Strong proficiency in statistical analysis tools (e.g., SPSS, R, Python) and data visualization software (e.g., Tableau, Power BI). Develop and refine best practices for survey design, deployment, and data analysis.
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Azure Databricks Platform Architect certification, Databricks Accredited Lakehouse Fundamentals certification, or similar certificationsWorking experience with Tableau, SAS Viya, R, and/or python.
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Experience with bioinformatics and genomic toolkits, databases, and scripting languages, including Python, R, or Shell. Experience with next-generation sequencing, omics data analysis, and open-source omics analysis tools and workflows as they apply to public health genomics.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
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The Sr. Data Engineer will design, build and operate high performance data centric solutions utilizing the comprehensive big data capabilities for the company's data platform environment.
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Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC, field service, chiller, specialist, specialty, hotside, hot side, Hstech, HVACR, cooking equipment, restaurant, kitchen, appliance.
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Participate in on-call rotation and triage production incidents, lead RCAs, and implement preventive actions As a engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology.
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Other technical skills needed could include Python, Docker, Kubernetes/EKS, Argo CD, GitHub Actions, IaC: Terraform, Cloud Formation, Helm, Splunk, Dynatrace. The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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Enterprise Data Analytics team is looking for a contracting resource with proficiency in Python programming, SQL, Big Query, Vertex AI, Kubeflow, TensorFlow, Google Cloud Storage, Kubernetes, Pub/Sub, Dataflow and other related tools within the Google Cloud Platform ecosystem.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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big data python r jobs Title: sr manager in Atlanta, AR, Canada
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