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Georgia Employer DATA ENGINEER (EXPERIENCED) in Atlanta, Georgia

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategoryProducts and TechnologyJob Details***** If you are currently in college/ grad school or have less than a year of experience - please check out FutureForce job opportunities at Salesforce: team is made up of data scientists, engineers, growth analysts, and information management experts who are dedicated to driving product strategy with data-driven insights. The team works with executives, product managers, designers, developers, user researchers, marketers, and sales strategy team members across all Cloud businesses to discover new opportunities for growth and optimization, experiment with data, drive adoption, and provide actionable insights that impact product strategy.Role Description:The Data Engineer position will be responsible for designing, developing & maintaining all parts of the data pipeline to build interactive and curated data needed to drive insights through data science, reporting & analytics. The role requires to partner with Data Scientists, Software Engineers, Data Analysts, and Information Management experts within Salesforce. This role involves making an impact by driving continuous improvements in moving, aggregating, profiling, sampling, testing and analyzing terabytes of data.Responsibilities:Own the technical solution design, lead the technical architecture and implementation of data acquisition and integration projects, both batch and real time. Define the overall solution architecture needed to implement a layered data stack that ensures a high level of data quality and timely insights.Communicate with product owners and analysts to clarify requirements. Craft technical solutions and assemble design artifacts (functional design documents, data flow diagrams, data models, etc.).Build data pipelines data processing tools and technologies in open source and proprietary products like Oracle, Hadoop, Pig, Hive, HBase, Spark, Salesforce API, and Talend big data fabric.Serve the team as a subject matter expert & mentor for Hadoop ecosystem products, ETL design, and other related big data and programming technologies.Identify incomplete data, improve quality of data, and integrate data from several data sources.Proactively identify performance & data quality problems and drive the team to remediate them. Advocate architectural and code improvements to the team to improve execution speed and reliability.Design and develop tailored data structures in database and Hadoop.Quickly create functioning ETL prototypes to address quickly changing business needs.Revamp prototypes to create production-ready data flows.Support Data Science research by designing, developing, and maintaining all parts of the Big Data pipeline for reporting, statistical and machine learning, and computational requirements.Perform data profiling, complex sampling, statistical testing, and testing of reliability on data.Clearly articulate pros and cons of various technologies and platforms... For full info follow and are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. and do not accept unsolicited headhunter and agency resumes. and will not pay fees to any third-party agency or company that does not have a signed agreement with or