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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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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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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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Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Job Description :Big Data Engineer Lead Location: This position will work a hybrid model (remote and office). Preferred Location: Atlanta, GA.The Big Data Engineer Lead is responsible for full delivery of end-to-end system development and maintenance on medium Enterprise-wide technology platforms.
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Mercer Digital specializes in business and cloud consulting, with a goal of transforming our clients' businesses by leveraging expertise in big data, cloud computing, and enterprise services.
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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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Your Impact Provide oversight with collecting, compiling, and analyzing data from the physical work site, soil/water/sludge/rock samples, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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Reporting to the Director of Institutional Research, the Research Data Manager will write SQL queries, develop reports, and conduct analyses providing accurate, useful, and readily accessible data; develop and implement policies and best practices for strategic data planning, data analysis & modeling, and data element use.
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Your creative problem-solving skills will enable you to tackle complex data modeling challenges, unlocking valuable insights that give us a competitive edge in the market. Proficiency in Cloud-based data warehousing platforms such as Redshift and Snowflake, along with expertise in data modeling, mining, and segmentation techniques.
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Monitor automated EDI jobs and ensure successful integration of data to application files. Perform data mapping and new Trading Partner setup in Trusted Link. Assist the EDI Coordinator with processing of day to day EDI transactions as needed.
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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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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. Stay up-to-date with emerging technologies and best practices in data engineering, cloud computing, and big data analytics.
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big data jobs Title: market area in Atlanta, ID, France
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