Senior Data Engineer in Svitla Systems Inc.

Пряме повідомлення учасника, який розмістив вакансію, з Svitla Systems, Inc. Erika Myteiko Erika Myteiko IT Recruitment Researcher at Svitla Systems, Inc. Requirements:Bachelor’s degree or higher in Computer Science, Data Science, or a related field.5+ years of experience in data engineering, specializing in pipeline development, optimization, data augmentation, and visualization.Extensive experience in data engineering, AI, and machine learning, focusing on building scalable data pipelines and deploying AI-driven solutions.Strong knowledge of SQL, Python, and R.knowledge of BI & Analytics tools such as Looker and Google Analytics.Experience working with cloud platforms like AWS, AWS SageMaker, SAP, and Azure.Thrive in a fast-paced environment where success is measured by business impact and output volume/frequency.Ability to manage multiple projects simultaneously and meet deadlines effectively.Background in e-commerce, fintech, or related industries.Excellent communication skills and ability to collaborate effectively with cross-functional teams.Strong analytical and problem-solving skills with a focus on delivering actionable insights from complex datasets.Ability to lead and mentor teams, drive innovation and foster a culture of continuous learning.Adaptability to evolving technologies and industry trends in AI, ML, and data engineering.Proven track record of delivering impactful AI-driven solutions and driving business value through data-driven decision-makingNice to haveExperience with Twilio Segment and Google Analytics.ResponsibilitieDesign, develop, and maintain scalable data pipelines using Python and R.Elevate workflow efficiency and reliability by implementing robust data validation, accuracy checks, and integrity measures across all pipeline stages.Develop sophisticated data augmentation processes tailored for complex analytics frameworks, enhancing the depth and quality of insights derived.Integrate the customer data platform with various platforms to facilitate the execution of omnichannel strategies, enabling seamless data flow and unified customer experiences.Automate data flow across disparate databases and platforms to enhance the productivity and agility of the marketing team.Utilize Looker Studio to create compelling dashboards and reports, establishing a comprehensive alerting and anomaly detection framework for timely business response.Translate complex data into actionable insights to optimize and drive revenue growth initiatives.Collaborate with cross-functional teams to analyze business requirements and design robust data architectures to support data-driven decision-making.Design, develop, and optimize AI-driven data pipelines using SQL, Python, and R.Utilize cloud platforms such as AWS, AWS Sagemaker, SAP, and Azure to effectively deploy and scale data-driven solutions.Develop and deploy machine learning models for regression, classification, clustering, and forecasting to optimize business processes and enhance operational efficiency.Implement Natural Language Processing (NLP) techniques to convert natural text into SQL queries and develop AI assistants for various use cases.Optimize inventory management, pricing strategy, promotions, and marketing campaigns using advanced analytics techniques and real-time data processing.Lead and mentor data engineering teams, fostering a culture of continuous learning and innovation.Stay abreast of the latest AI techniques and technologies and ensure compliance with industry standards and best practices in AI and ML operations (MLOps).We Offer:US and EU projects based on advanced technologies.Competitive compensation based on skills and experience.Annual performance appraisals.Flexibility in workspace, either remote or in one of our development offices.Comprehensive medical insurance including dental and massages.Sport reimbursement program for onsite and online activities.Support of a healthy lifestyle, compensation for running events.Bonuses for recommendations of new employees.Bonuses for article writing, public talks, other activities.Personal loan budget available for long-term personnel.20 vacation days, 10 national holidays and sick leaves.Maternity leave policy and family days off.Full compensation for conferences, courses, English classes.Free webinars, meetups and conferences organized by Svitla.Gifts for anniversaries, New Year, children and more.Corporate celebrations and activities, regular lectures on various topics.Awesome team, friendly and supportive community! Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки Інформаційні технології Галузі ІТ-послуги та ІТ Консалтинг