Find your dream career in KYLG

We always have vacancies for passionate Data Engineers

Job Overview
Job Qualifications


  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.


We are looking for senior candidates with 8+ years  and junior candidates with 2+ years of experiencine in Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:


  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Luigi, Airflow, etc.
  • Experience with cloud services: AWS(EC2, EMR, RDS, Redshift) or MS Azure
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Job Responsibilities


  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS or Azure ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS or Azure regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

   

Language Skills


    • Native speakers of English or candidates with effective  expression and well understanding skills  of complex English in the field of Data Science.



            We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiative.

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    ABOUT US

     

            KYLG  AB is a value centered niche player in the field of Data Science

    & ML Platform,offering Technology Consultancy & Services,With geographically diversified employees of around the world--headquatered in Stockholm, Sweden with branches in Finland, Indian and China.


            KYLG operates in industry sectors such as : Consumer Goods, Insurance , Aviation... By adopting XAI, AutoAI & Visualization to deeply interpret data & learn, enables leadership teams to make better business decisions and increase their ROI by considerable percentage. KYLG uses its talented assets in big data platforms & E2E ML lifecycle, to offer creation of visualized analytic content and progression from insights to action, and to provide E2E & cross domain decision intelligence.


             KYLG would  rather spend time on helping customers than introduce ourselves, though we have helped our customers or partners precisely identify bullseyes of customer's unconsious needs and win gains beyond their exception。

    OUR CUSTOMERS

    KYLG

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    Big Data experts with you anytime...



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