Sciative Solutions- Data Engineer
4 weeks ago
Job Responsibilities :- Collaborate with data scientists, software engineers, and business stakeholders to understand data requirements and design efficient data models.- Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions. - Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency.- Optimize data processing and storage systems to handle large volumes of structured and unstructured data efficiently. - Perform data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modelling.- Monitor data flows and processes, identify and resolve data-related issues and bottlenecks.- Contribute to the continuous improvement of data engineering practices and standards within the organization.- Stay up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricingCandidate Profile :- Strong passion for data engineering, artificial intelligence, and problem-solving.- Solid understanding of data engineering concepts, data modeling, and data integration techniques.- Proficiency in programming languages such as Python, SQL and Web Scrapping.- Understanding of databases like No Sql , relational database, In Memory database and technologies like MongoDB, Redis, Apache Spark would be add on..- Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus.- Excellent analytical and problem-solving skills, with a keen eye for detail.- Strong communication and collaboration skills, with the ability to work effectively in a team- oriented environment.- Self-motivated, quick learner, and adaptable to changing priorities and technologies. (ref:hirist.tech)
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Sciative Solutions
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Sciative Solutions
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