Data Engineer

Job description

• You’ll need to come up with solutions to complex problems that should maintain performance in scale.
• You'll be responsible for driving exciting innovations around data and AI that will help the company grow faster and wiser.
• You’ll work closely with devs, analysts and business stakeholders to automatically generate predictive models that utilize our collected data and empower our system to make decisions in real-time.
• As part of the job, you will be a focal point for all things related to data, which includes creating a tech roadmap for pipe-lines performance, data architecture, managing storage, assessing performance and budget limitations and much more.
• Taking full ownership of designing, implementing, deploying and maintaining existing and new data pipelines by using cloud-based tools in a cloud-based infrastructure.
• Work with different stakeholders to design and develop Machine Learning algorithms that optimize and make an immediate business impact on KPIs.
• Build, test, and deploy custom ML/AI models and algorithms on large datasets, and develop processes for monitoring and analyzing their performance in production environments.
• Hands-on work on our core data infrastructure, tools and automation.
• Take part in POCs and innovation for new technologies, databases, tools and services that can significantly push the division goals.

Experience and background

• 5+ years of hands-on experience as a Software Engineer.
• 3+ years of hands-on experience as a Data Engineer.
• 2+ years of hands-on experience in Machine Learning and Data Science.
• Intimate familiarity with a variety of ML disciplines and algorithms.
• Experience with data related cloud-based technologies like S3, Parquet, EMR, AirFlow, Kinesis, BigQuery.
• Previous Python experience.
• Excellent business understanding and communication skills.
• Data enthusiast and a team player.
• A good English speaker (B2+).

They offer

• Salary expectations: Up to 6000 USD (Gross salary as a private-entrepreneur).
• Contract duration: Permanent.
• Probation period: 3 months.
• A full-time position.
• Work schedule: 09:00-18:00.
• Work type - from home, remotely.
• Benefits package: will be decided by the client along the way.

Hiring process

• 1st interview: owners.
• 2nd interview: end-clients HR interview.
• 3rd two technical interviews - one hour each (instead of a test).