What You’ll Need:
Minimum of 4 years’ experience in a software engineering background within Java, Python or Scala
Ability to translate loosely defined business requirements into specific software tasks that will facilitate company developing a world class data platform.
Extensive experience in designing and engineering data processing workflows ideally using Apache Airflow
Strong experience with Big Data technologies such as Spark, EMR, Hadoop, Flink, Beam, Kafka, Hive, Presto, Athena, Impala, Atlas.
Deep understanding of data storage technologies for structured and unstructured data.
Experience with a cloud-based architecture like AWS, GCS or Azure using Linux as a primary development environment.
Expert in data Warehousing Modelling (Kimball/Inmon) and data lake design.
The ability to create relationships across the organization and act as an ambassador across the company to promote the data transformation journey we are on.
Passion for innovation matched with excellent communication and analytical skills and demonstrated ability to influence strategy outside of your own team.
A passion for research, the landscape for data engineering is rapidly evolving and we want to use this to our competitive advantage by using the right tools.
What We Offer:
• Comfortable, well-equipped and freshly renovated offices located on metro Svyatoshin / Zhitomirskaya or metro Livoberezhna
• Work schedule 5 days per week 10 am —7 pm
• Flexible schedule is possible and could be discussed
• The company has successfully survived several crises and we are working!
• Excellent growth and learning opportunities
• Positive and friendly office culture
• No dress code
• Fresh brewed coffee and great tea selection
• Social events.
If you found this job and company interesting please:
• send your CV
• specify your financial expectations
• and English level in a short cover letter
Work in a lean environment building out the data platform using both traditional data warehousing ideologies while incorporating the latest trends in big data.
Automation of innovative algorithms for data analytics, machine learning and artificial intelligence developed by the data science team.
Promote the use of Agile within the team to increase overall efficiency and predictability of project delivery.
Manage effective communications with key stakeholders ensuring we are using JIRA, Confluence and Portfolio effectively.
Design and develop solutions that are core to the company values and future.
Help create and maintain the data engineering roadmap in collaboration with team.
Mentor and support team to increase their technical knowledge and overall professional development.
Promote a culture of collaboration, knowledge sharing, innovation and continuous learning across the team.
Development of Engineering brand and overall strategy to attract and maintain the greatest talent.
Продукт: сканер уязвимостей, занимает очень большую долю рынка США. Cерьезный проект, необходим технический уровень выше среднего.