Job Description
Job Description – Data Engineer System Soft Technologies is a premier technology company providing exceptional consulting services and solutions that drive innovation, enhance business value, and boost competitiveness. For over 25 years, we have built trusted partnerships with our clients, helping us grow into a $200MM+ enterprise. With the collective resources of over 1,200 associates covering the full spectrum of IT expertise, we anticipate and meet the unique needs of our clients, consistently delivering exceptional quality that exceeds expectations. Why System Soft Technologies? At System Soft Technologies, we are united by diversity, inclusion, transparency, respect, integrity, and a deep passion for our clients and team members. Your professional development fuels our growth as we collaborate, share ideas, innovate, and invest in our future together. By building meaningful partnerships with our people, we embrace a common purpose to amplify ambitions, expand horizons, and exceed our goals. This synergy keeps us agile, ahead of the competition, and leaders in our industry. Our continued success starts with you. Job Description: They must have experience with Python, Snowflake and Alteryx. This person will be working in India-standard time hours to cover the time when the US Teams’ are not available. Media experience is nice to have but do prefer at least they come from product-centric companies. Responsibilities: Quality of having a two-person team. Transforming data into a model consumed by Tableau. Ensuring the data model supports application changes. Responsible for pipelines, not Tableau. Problem-solving is key, with a focus on contextual awareness. Brand-new project and solving new problems. Qualifications: Python Snowflake Alteryx Knowledge of AWS Managing access issues via AWS Console Provisions S3 (storage layer) System Soft Technologies is a proud equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, sexual orientation, or any other characteristic protected by law.
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