Position: Data Engineer
Company: GlobalLogic
Category: Data Engineer
Experience required: 2y
English level: intermediate
Published: 2022-08-01T00:00:00+03:00

The team is ready to invest in teaching a new member AWS and Snowflake if they don’t have experience with them.

Requirements:
3-6 years of experience in Data Engineer role
Experience with Python or Java (Scala)
Experience with any cloud platform (AWS or GCP or Azure)
Distributed systems knowledge
Data processing experience at scale
Passion for learning, programming, automation, and data processing

Responsibilities:
Building out a full-featured data processing platform
Leverage big-data technologies for data processing, including Apache Spark, Kubernetes
Contribute to the data platform ecosystem, including implementation of microservices or serverless components
Work with the DevOps engineers to design and build observability features (telemetry, tracing) and CI/CD

What We Offer:
Exciting Projects: With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.

Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.

Professional Development: We develop paths suited to your individual talents through international knowledge exchanges and professional certification opportunities.

Excellent Benefits: We provide our employees with private medical care, sports facilities cards, group life insurance, travel insurance, relocation package, food subsidies and cultural activities.

Fun Perks: We want you to feel comfortable in your work, which is why we create good working environment with relax zones, host social and teambuilding activities and stock our kitchen with delicious teas and coffees!