Jobs at Data Knobs | Well Managed data


JOB POSITIONS AT DATAKNOBS
JOB POSITIONS AT DATAKNOBS
        
JOB ML ENGINEER
JOB ML ENGINEER
        
WEB DEVELOPER
WEB DEVELOPER
        
CLOUD ENGINEER
CLOUD ENGINEER
        
TECHNICAL WRITER
TECHNICAL WRITER
        
LEAD DATA SCIENTIST
LEAD DATA SCIENTIST
        
ACCOUNT MANAGER
ACCOUNT MANAGER
        


Jobs at Dataknobs


Data Engineer

Come 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

  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
  • Experience taking projects from scoping requirements through V1 launch and V2 iterations.
  • Minimum 2+ years of experience as a Data Engineer or similar role.
  • Strong experience in designing and building data pipelines.
  • Proficiency in SQL and scripting languages (Python, Java, etc.).
  • Working knowledge of big data frameworks (Spark, Hadoop, etc.) is a plus.
  • Experience with cloud platforms (AWS, Azure, GCP) is a plus.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Preferred qualifications
  • Strong software development skills
  • Experience working effectively with Data science, data processing, and software engineering teams
  • Proven track record of innovation , Experience in e-commerce. ab testing is preferred
  • Entrepreneurial spirit combined with strong architectural and problem solving skills
  • Excellent written and spoken communication skills



  • Applied Scientist

    Come 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

  • Demonstrated experience/education project with machine learning, natural language processing, deep learning, data mining, and/or text/speech processing methodologies.
  • Experience taking projects from scoping requirements through V1 launch and V2 iterations.
  • Graduate degree in computer science, machine learning, computer engineering, mathematics, related technical discipline, or related industry experience
  • Preferred qualifications
  • Solid Machine Learning background with experience in supervised machine learning techniques.
  • Masters or PhD with specialization in machine learning applied in natural language processing
  • Strong software development skills
  • Experience working effectively with science, data processing, and software engineering teams
  • Proven track record of innovation , Experience in e-commerce. ab testing is preferred
  • Entrepreneurial spirit combined with strong architectural and problem solving skills
  • Excellent written and spoken communication skills



  • 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




    Data Architect


    Be 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.

    Responsibilities



    Design 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.

    Qualifications



    Bachelor'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.



    Data architects must have skills on cloud architecture




    Web Developer

    Come 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.

  • Proficient in JavaScript, HTML, CSS.
  • Proficient in My SQL.
  • Knowledge of ASP.NET is preferable
  • Knowledge of React/Angular or similar framework.
  • Knowledge of NODE JS
  • Knowledge of AWS/Azure is preferable too.
  • Front end developer with experience and knowledge of developing progressive web application for mobile and desktop can also apply
  • Education and Experience Requirements
  • Bachelor’s degree in computer science
  • 1 year+ experience as a web developer




  • Send resume to jobs@dataknobs.com


    From the Slides blog

    Generative AI slides and details
    LLM Overview

    Unleash AI's creative spark: Master GenAI 2.0 with cutting-edge updates, real-world applications, and ethical challenges.

    Tame the Generative Beast: Conquer cutting-edge models, demystify real-world applications, and optimize workflows. AI fluency guaranteed. Beyond Hype, Into Hands-On: Architect your own GenAI marvels. Deep dive into foundations, dissect use cases, and master best practices. Unleash the Black Box: Unpack the power of GenAI models, dissect ethical dilemmas, and unlock hidden creative potential. Expert-level mastery awaits.

    Spotlight

    Futuristic interfaces

    Future-proof interfaces: Build unified web-chatbot experiences that anticipate user needs and offer effortless task completion.




    Account-manager    Cloud Engineer    Cloud-engineer    Data-analyst    Data-science    Data-scientist-2    Data-scientist    Job Positions at Dataknobs    Job-families-for-model-develo    Job-marketing