Position: Big Data Engineer
Company: Sloboda Studio
Experience required: 5y
English level: upper

Full Job Description:
Candidate will be responsible for ensuring the team makes sound design & configuration decisions to develop curated data products, applies standard architectural practices, and supports the Data Product Managers in evolving core data products. You will primarily develop on Google Cloud Platform and other technologies such as Linux, Docker, Kubernetes, BigQuery, Kafka, Airflow, Dataflow and Python.

Responsibilities Will Include:
- Solve complex problems and provide sustainable solutions
- Help to build and operate internal analytical platform
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- Work in an agile development environment
- Use a wide variety of technologies, learn new things, wear lots of hats (actual hats optional)
- Participate in diverse projects and collaborate with engineering, product, analytics teams

Qualifications:
- 4+ years of experience in a similar position
- Bachelor's Degree in Computer Science

Skills
- Large Knowledgeable about Big Data technologies and related cloud services
- Software development lifecycle, project implementation methodologies such as agile etc
- Software engineering principles
- DevOps concepts for ML pipeline automation
- Main Python Big Data FWKs

Nice to haves:
- Industrial experience
- Serverless
- Java
- NoSQL DBs

This is the complete JD but for this position could be enough:
- Python
- Apache Beam (Dataflow)
- GCP