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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.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog. Our client is currently seeking an experienced Data Engineer - Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Demonstrated technical proficiency in one or more of the following languages SAS (base, enterprise guide or enterprise miner) and/or R/Python while working on projects to Probability and Statistics, Finance (financial ratios, interest rates, yield curve), or data mining.
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Bachelors degree in Engineering Georgia PE Georgia Level II Erosion and Sedimentation Control Certification Hybrid work schedule Key Skills/Attributes: Experience working on GDOT projects.
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Bachelor's Degree or equivalent experience in Market Research or Analytics, Computer/Data Science, Statistics, CX/UX Research or Analysis or similar field. Advanced proficiency in Qualtrics/Clarabridge, SPSS, SQL, R, Python, Tableau and Power BI.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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Minimum, bachelor’s degree in a STEM or Data Science degree preferred – Masters a plus. Previous hands-on experience working directly with MDM technologies that enable automated governance of data as well as capture and maintain master data architecture/lineage and metadata management (Informatica, Talend, SAP MDG, SAP Information Steward, SAP Business Objects Data Services, Winshuttle, RPA/AI, Profisee, Collibra, etc.
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Data Transformation: DBT, Airflow, Talend, Alteryx. Data Management: Snowflake, Databricks, Big Query. Business Intelligence: Qlik, Domo, PowerBI, Tableau (focus on admin, data pipelines, and light development.
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The Legal Operations Lead Insights Analyst role is a full-time, professional track role whose primary responsibility is to identify, generate and communicate insights for the Legal Department through the blending, transformation, and critical evaluation of data through descriptive, diagnostic and limited predictive methods relying on Chick-fil-A’s established analytics tooling stack.
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Bachelor's degree or graduate education in meteorology, atmospheric or environmental science, environmental management, urban planning, GIS, environmental engineering, or related field. Serve as a climate science subject matter expert, performing meteorological and climate data analysis, including regional climate profiling guiding teams on the use of climate data and tools for assessing natural hazard risk.
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The Manager, Consumer Insights & Analytics is responsible for leading critical Consumer Insights programs, managing and analyzing data across qualitative and quantitative initiatives, and driving data visualization for impactful storytelling.
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Master's Degree in Statistics, Data Science, Applied Mathematics, Engineering, Operations Research, or similar fields. 5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks.
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Work directly with DevOps and infrastructure technologies such as Bash, Python, Docker, Kubernetes, Jenkins, CircleCI, GitLab-CI, GitHub Actions. Proficiency with scripting languages and including Bash, PowerShell, Python and common file formats including XML, JSON, YAML, TOML.
$117,300 - $214,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's degree in a relevant field (e.g., Business, Computer Science, Data Science, or equivalent experience) from an accredited university. 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.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5 years of related experience with a Bachelor's degree in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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bachelors degree python data jobs Title: data analyst specialist in Atlanta, GA
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