Strong Middle Data Engineer (offline)

We are looking for a talented open-minded Data Engineer who will bring his/her experience, intelligence, and inspiration to support our Data Infrastructure Team

The smava Data Infrastructure is responsible for building the new Data Platform of smava. This team acts as a bridge between the production teams, the Data Scientists and Analytics.

The client's team builds data pipelines for a variety of use cases and considers data engineering to be one of the most interesting areas where software engineering can be combined with challenging algorithmic problems.

In this role, you will develop distributed services that process data in batch and real-time with a focus on scalability, data quality, and business requirements while delivering the groundwork for the governance team. You will have the opportunity to work on challenging data-related problems and building a self-serve data platform.

And your responsibilities:
Develop, test and maintain data infrastructures based on our tech stack combining proprietary and 3rd party solutions: Java, Python, Terraform, Jenkins, Kubernetes, AWS Ecosystem especially Lake Formation, Glue, MSK
Build and develop reusable technology that enables teams to capture, process, store, and serve their data products in an easy way
Build and maintain complex and scalable ETL pipelines between internal & external sources
Collaborate closely with business stakeholders such as Marketing, Product, Analytics, etc.
Drive data quality and governance checks (e.g. validation, consolidation, deduplication, anonymization, GDPR compliance etc.)
Identify and evaluate current developments and new technologies
Teach, guide, and leadless experienced colleagues from a content perspective


Requirements:
Development experience in any of languages: Scala, Java, Kotlin, and Python.
Experience in building:
ETL / ELT pipelines
Data lakes & raw data layers
Cloud data warehousing (ideally with AWS MSK; AWS lake formation, Spark, EMR, Glue, Snowflake)
Familiar with Spring Framework.
Experience in designing and implementing state of the art, modular data infrastructures - always driven by use cases and end-user value
Strong solution focus, constantly trying to reduce the “time to insight” (analytics data) and “time to product enhancement” (production data)

Good written and spoken English (Upper Intermediate)
Quick on the uptake, team player, thrives in an international environment.

About Intellias

Intellias is a global IT company with more than 2600 specialists that operates in Ukraine, Poland, Croatia, Bulgaria, Spain, Portugal, Colombia, India, Germany, the United States, and the United Arab Emirates. With more than 20 years of market experience, Intellias creates and supports a human-to-human culture to unite engineers, creators, and innovators.

The company develops complex software solutions and provides professional services, specializing in automotive, navigation, financial, and telecommunications technologies. More than two billion people around the world use technology products developed by Intellias engineers. For many years in a row, Intellias has been recognized as one of the best IT employers according to DOU.ua, the largest IT community in Ukraine. In 2020 and 2021, the company was ranked as a top IT employer by Forbes and EY.

Company website:
https://career.intellias.com/

DOU company page:
https://jobs.dou.ua/companies/intellias/

The job ad is no longer active
Job unpublished on 1 April 2021

Look at the current jobs Data Science Kyiv→