Lediga jobb KYLG AB i Sollentuna

Job Overview
Be responsible for expanding and optimizing 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. Senior software engineer will instruct 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 initiatives.
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 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.








































































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Job Responsibilities:
1. Responsible for the company's supplier management and process promotion in China and India.
2. Proficient in using Chinese, English and Fujian dialect to communicate with suppliers.
3. Participate in the discussion of the company's development plan, business operation plan and the discussion of the company's major decisions.
4. Collect various relevant information, data and intelligence to provide reference and suggestions for the company's decision-making.
5. Coordinate the working relationship between the heads of departments.
6.Assist superiors to carry out comprehensive coordination and organization of research and development, capital operation, financial review, administrative and personnel management, etc., and grasp the main business activities.
7. Supervise and assist the corresponding accounting processing, transaction verification and tax declaration of each position, follow up the progress of the completion of each position's work, complete the closing work on time and issue financial statements.
8. Responsible for the notification of the company's meeting, meeting minutes, post-conference collation and other conference affairs.
9. Responsible for the receipt and distribution of mail, faxes, letters, newspapers and periodicals.
10. Assist in formulating recruitment plans, organizing various forms of recruitment, collecting recruitment information, and recruiting, selecting, hiring and configuring personnel.
11. Responsible for the management of daily personnel work (labor contract, attendance, organization and arrangement of activities).
Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov. Visa mindre

Be responsible for expanding and optimizing 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. Senior software engineer will instruct 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 initiatives.






























Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov. Visa mindre

Senior Software Engineer Job Description
Job Overview
Be responsible for expanding and optimizing 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. Senior software engineer will instruct 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 initiatives.
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 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.
Qualifications
? Advanced working knowledge and experience working with relational databases, query authoring () 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.
? 15+ years of experience in software development, has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. Should also have experience using the following software/tools:
? Experience with big data tools: Hadoop, Spark, Kafka, etc.
? Experience with relational and No 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.
? Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.




























Öppen för alla
Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov. Visa mindre