Position: Big Data Engineer (Python, GCP)
Company: SoftServe
Experience required: 2y
Category: Other
English level: intermediate
Published: 2022-01-01T00:00:00+02:00

**WE ARE**
SoftServe is a leading technology solutions company specializing in software product and application development and services. Our mission is to be a valuable partner for our clients (from start-ups to large enterprises) who represent different domains e.g. health care, retail, enterprise, automotive, education, etc.
Right now we are cooperating with the client, one of the most famous technology companies in the United Kingdom designing and manufacturing household appliances. The customer is focused on building and developing data platforms and is looking for a Big Data Engineer who can support their data assets and services projects as part of a bigger transformation roadmap.

**YOU ARE**
• Strong in Python
• Having Сloud knowledge/experience – preferably GCP, AWS or Azure (a huge benefit)
• Knowledgeable of BigQuery (+SQL), Composer (Apache Airflow), Kubernetes, REST API, Git, Jenkins, JIRA
• Able to quickly ramp up and lead certain development topics from scratch up to delivery
• Skilled in Dataflow (Apache Beam) and familiar with other GCP services (will be a big plus point)
• Experienced with App Engine (+Microservices architecture) as well as with Web Development (Frontend and SPA architecture) (will be a big plus)
• Passionate about implementing Data Lakes, Data Warehousing, or analytics systems
• Interested in recent technologies in data processing ecosystem
• Demonstrating Upper-intermediate English level (both spoken and written)

**YOU WANT TO WORK WITH**
• Creating sustainable Big Data solutions
• Expanding knowledge and experience in Cloud Solutions – especially Google Cloud
• Learning new technologies and obtaining certifications
• Great Big Data professionals and interesting customer and tasks

**TOGETHER WE WILL**
• Focus on creating new data ingestions, data manipulation, transformation, or migration of data pipelines
• Work with different types of data
• Build and scale-up re-usable value-added-services
• Deliver business value for proper data usage in the Company
• Build common data platform as a basis for Company data-driven decisions
• Grow as a team of professionals in innovative technologies