Data Engineer

Project

Use your knowledge to build a complex cutting-edge product while working with highly-skilled and experienced team members in a collaborative and friendly atmosphere. Design, code, configure, and document components that manage data ingestion, real-time streaming, batch processing, data extraction, and transformation.

This project is bringing a revolution to this field with its cutting-edge AI core that provides the world’s first standardized productivity score, determines optimal work patterns, identifies which actions most positively impact team productivity growth, and makes personalized, prioritized AI-driven recommendations. The project caught the attention of Forbes and has been recognized as a Sample Vendor in the Gartner Report.

Team

At SSA we have the following team: a Team Leader, QA, Senior DevOps, Back-end developer, Senior Front-end developer.

On the client’s side there are 2 Data Scientists, Data Engineer, UI/UX Designer, Tech. Lead / Product Owner.

Candidate Requirements
  • 4+ years of experience as a Data Engineer.
  • 3+ years of programming experience with Python
  • 1+ years of experience with AWS: EC2, S3, RDS
  • Hands-on experience on SQL and NoSQL (MongoDB) databases is a must.
  • Demonstrated Analytical ability, results-oriented environment with external customer interaction.
  • English level: Upper-Intermediate
  • Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.
Will Be a Plus
  • Bachelor’s degree in Computer Science, Engineering, Operations Research, Math, or related discipline.
  • Understanding of data warehousing, data modeling concept and building new DW tables
  • AWS experience with Databricks, Spark, EMR, RDS, Redshift, Athena and/or Glue
  • Statistics knowledge and hypothesis testing experience
  • Fluency in data analysis and communication around data, including time series analysis
Responsibilities
  • Create and maintain optimal data pipeline architecture
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
  • Work in close collaboration with Product Owner
  • Collaborate with Data Engineer and Data Scientists to strive for greater functionality in data systems
  • Follow best practices in software development
  • Maintain documentation and test coverage
Project Benefits
  • A strong friendly team
  • Modern technologies
  • Good quality of the codebase: we use unit testing, linters and code reviews
  • The project brings innovation
  • Enterprise-level customers
  • Technical challenges
Work mode
  • Office
    Office
  • Remotely
    Remotely
Office Location
  • Kharkiv
    Kharkiv
  • Kyiv
    Kyiv
  • Dnipro
    Dnipro
  • Lviv
    Lviv

Do you have any questions?

Contact Taras if you want to know more. We will be happy to help you!

Find out more in video

Why choose us

Senior team
Senior team
You will have the opportunity to work closely on projects with senior teammates, gaining new experience and insights
Regular review
Regular review
We offer regular performance reviews based on matrices of competence, code and peer reviews, and client feedback
 Long-term employment
Long-term employment
We have never supported the one-project employment philosophy and believe there is always a job for a competent specialist
 Challenging projects
Challenging projects
You will work with cutting-edge technologies, gain access to the most up-to-date tools and apply your skills to complex projects
Certifications
Certifications
We encourage our employees to obtain certifications; if you pass a certification exam, we will reimburse the testing fee
 Flexible working schedule
Flexible working schedule
You can start your workday any time before 11 a.m. and adapt your schedule to meet 40 hours a week
 Comfortable offices
Comfortable offices
We have well-equipped, modern offices in business centres
Send us your CV to become a part of our team join us

Apply here!

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