N-iX is a software development service company that helps businesses across the globe develop successful software products. During 20 years on the market and by leveraging the capabilities of Easter Europe talents, the company has grown to 2000+ professionals with a broad portfolio of customers in the area of Fortune 500 companies as well as technological start-ups. With its headquarters in Lviv, Ukraine, the company also has multiple development offices in the East European region and representative entities in the United States of America, Sweden, and Malta.
Throughout the years of its operations, the company has developed strong expertise in such fields as digital turn-key solutions engineering, cloud services, big data & analytics, user experience design, engineering excellence, digital platforms integration, and its own R&D in different domains such as financial services & banking, telecommunications, e-commerce, automotive, manufacturing, and others. The modern global trends in the IT industry have led the company to consider its expansion to the Latin American market to complement its expertise with high-end talents in the area.
Cloud Infrastructure Engineering team is responsible for overseeing client's Cloud Infrastructure and building/managing/supporting “Cloud Native Application Platform” and “Data Platform” which is built on Google Cloud Platform.
Cloud Native Applications Platform’s goal is to offer the simplest and fastest path for developers to build, deploy, monitor, and scale resilient Cloud Native Applications by incorporating DevSecOps principles and self-servicing capabilities. Data Platform on the other hand, also using the same foundations and principles, is for onboarding data pipelines and producing Data Products for Data Analytics and Data Science purposes.
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.
Optimally extract, transform, and load data from a wide variety of data sources using SQL and Google Cloud data technologies
Collaborate with the team to decide on which tools and strategies to use within specific data integration scenarios
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
Develop and maintain code and documentation for ETL and other data integration projects and procedures
Monitor and anticipate trends in data engineering, and propose changes in alignment with organisational goals and needs
Share knowledge with other teams on various data engineering or project related topics
Atleast 5 or more years of experience working in the data engineering field
Proficiency in SQL language
Strong knowledge of Python language
Experience in optimization of high volume ETL processes
Experience with any of the popular Clouds (GCP, AWS, Azure)
Good knowledge in Message Broker systems (e.g., Kafka, PubSub)
Google GCP data platform (Dataflow, Dataprep, Cloud Composer, BigIGQuery, CloudSQL) knowledge and experience is an asset, or knowledge of the equivalent open source toolset behind those products
Upper-intermediate level of English
Nice to have:
Good knowledge of popular data standards and formats (e.g, JSON, XML, Proto, Parquet, Avro, ORC, etc)
Data modelling skills
GCP Data Engineering Certification preferred
Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Flexible and personalized career growth
Professional development tools (mentorship program, tech talks and training, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Paid vacation days, sick leaves, and days off
Healthcare & Sport program
Memorable anniversary presents
Corporate events and team buildings
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