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1 year of experience delivering solutions in at least two of the following: data science, data research, geospatial, finance, econometrics, cloud computing or big data and database management.
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Big Creek Dam offers beautiful, scenic waterfall views, while East Roswell Park features fishing, hiking and cycling options. Roswell puts on a number of annual productions that are big draws in the region, including a large memorial day ceremony, a storytelling festival, and a fireworks extravaganza.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Databricks data engineering (Databricks Professional Data Engineer and/or Spark Developer certification preferred) 2+ years of Databricks data engineering experience (Databricks Professional Data Engineer and/or Spark Developer certification preferred.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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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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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Strong experience with BI tools (e.g. Tableau, Power BI, QlikView) as well as with data warehousing technologies and data lakes (e.g., Snowflake, Amazon Redshift, Google BigQuery). Extensive experience with ETL processes, data integration, and managing large-scale data environments as well as with data tools (e.g. Informatica, Talend, Apache Nifi.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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While you will not have formal line management responsibilities, as a principal you will be expected to lead, mentor others, and deputize for the director of data engineering when required.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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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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big data jobs Title: sales director in Atlanta, PA, Australia
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