Jobs at Data Knobs | Well Managed data
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Jobs at Dataknobs |
Data EngineerCome join the Dataknobs team. As a member of our team, you will be responsible for development and launch of core product & solution features. As a member of the Dataknobs team you will design and develop data pipeline, automation pipelines.. We are searching for a talented Data Engineer to join our growing team. In this role, you will play a critical role in designing, developing, and maintaining the data pipelines that feed our data warehouse and other analytics systems. You will work closely with data scientists, analysts, and software engineers to ensure a smooth flow of high-quality data for all our data-driven initiatives. The ideal candidate is clearly passionate about cal experience building large-scale distributed systems. This person has thrived and succeeded in fast paced environment where learning new concepts quickly is a must. Responsibilities:Design, develop, and implement scalable data pipelines to extract, transform, and load data from various sources. Build and maintain data models to ensure efficient data storage and retrieval. Implement data quality checks and monitoring processes to guarantee data accuracy and consistency. Automate data processing tasks using scripting languages (Python, SQL, etc.) and big data frameworks (Spark, Hadoop, etc.). Collaborate with data scientists and analysts to understand data needs and translate them into technical solutions. Work with DevOps engineers to deploy and maintain data pipelines in production environments. Document data pipelines and processes for clear communication and future maintenance. Basic qualifications |
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Applied ScientistCome join the Dataknobs team. As a member of our team, you will be responsible for development and launch of core product & solution features. As a member of the Dataknobs team you will design and develop method to build ab testing, causal inference. You will gain hands on experience with structured and unstructured data sources. The ideal candidate is clearly passionate about building and delivering experiences that delight customers with robust solutions. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, Natural Language Processing and practical experience building large-scale distributed systems. This person has thrived and succeeded in fast paced environment where learning new concepts quickly is a must. Basic qualifications |
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As a applied scientist you will get opportunity to work on generative ai, compliance using AI. You will work on NLP, timeseries and images datasets |
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Data ArchitectBe the Michelangelo of your company's data! We are looking for a visionary Data Architect to design, develop, and implement the future-proof data strategy that will fuel our organization's success. As the Data Architect, you will be the mastermind behind our data landscape. You will translate business needs into a robust and scalable data architecture, ensuring our data is secure, reliable, and readily accessible for all analytical initiatives. ResponsibilitiesDesign and implement a comprehensive data architecture that aligns with business goals and objectives. Select and implement appropriate data management technologies and tools. Develop and maintain data models that optimize data storage, retrieval, and governance. Ensure data security and compliance with relevant regulations. Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions. Stay up-to-date on emerging data technologies and trends. Document data architecture components and processes for clear communication and future maintenance. QualificationsBachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Minimum 5+ years of experience as a Data Architect or similar role. Proven experience in designing and implementing enterprise-scale data architectures. Strong understanding of data modeling concepts and methodologies (e.g., dimensional modeling, entity-relationship modeling). Expertise in SQL and relational database management systems. Experience with big data technologies (e.g., Hadoop, Spark) is a plus. Experience with cloud platforms (AWS, Azure, GCP) is a plus. Excellent communication and collaboration skills. Strong analytical and problem-solving skills. Ability to think strategically and translate business vision into technical solutions. |
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Data architects must have skills on cloud architecture |
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Web DeveloperCome join our startup to innovate and grow. As a member of our team, you will be responsible for development and launch of core product & solution features. As a member of the our team you will design and develop web controls, web pages and web application. |
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Send resume to jobs@dataknobs.com |
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