Senior Big Data Engineer (GCP) in Softserve

A global digital solutions company with Ukrainian roots. 13,000+ talented individuals are currently working on 1,100+ projects with clients in the USA, Europe, and APAC region. SoftServe is about open-minded people who love technology and have an environment where they can craft their personal and professional growth. We understand that the best way to build our future is to help you build yours.
Our customer seamlessly integrates the digital into the physical world to amplify human potential. Leading company with cutting-edge augmented reality technology.
You will be involved in data migration into GCP as well as building data models and reports to be built on top of integrated data, standardization of ingestions, and data modeling approaches based on GCP. You will be a part of a team to adopt DBT for data layer SLQ transformations, create unit tests, and set observation tools to discover anomalies in data.

• Creating sustainable Big Data solutions
• Migration of existing on-prem databases to Google Cloud Platform
• Cloud Solutions, especially Google Cloud
• Implementing Data Lakes, Data Warehousing, or analytics systems
• Technology assessments and comparisons
• Creating new data ingestions, data manipulation, transformation, or migration of data pipelines

• Experienced with Cloud solutions, preferably GCP
• Strong in Python, or Java language
• Knowledgeable about BigQuery, SQL, Oracle, Apache Airflow, Kubernetes, REST API, Git, Jenkins, JIRA
• Experienced with App Engine and Microservices architecture
• Passionate about implementing Data Lakes, Data Warehousing, or analytics systems
• Able to quickly ramp up and lead certain development topics from scratch up to delivery
• Demonstrating Upper-Intermediate English level (both spoken and written)

• Hand on experience
• Great communication Skills
• Interested in data quality and DataOps implementation
• Skilled in Dataflow (Apache Beam), Dataform/DBT, and other GCP services

• Work with different types of data and get the latest certifications
• Build and scale up re-usable value-added-services
• Deliver business value for proper data usage in the Company
• Build a common data platform as the basis for Company data-driven decisions
• Implement DataOps from scratch and scale it as per customer needs
• Grow as a team of professionals in innovative technologies