Senior Data Engineer

Key Skills

.NET, Apache Cassandra, Apache Hadoop, Apache Kafka, AWS, Azure, Bash scripting, C++, Data Modeling, Database, Docker, Ecommerce, English Proficiency, ETL frameworks, Fin-tech, Google Cloud Platform (GCP), Java Programming, Python Programming, R Programming, Scala Programming, SQL

Job Description

We’re looking for a Senior Data Engineer to join the team. Here’s what you can expect in the role:

• Manage the design and implementation of transformed data
• Collect, store and prepare data for further use by other team members
• Manage various databases and large-scale processing systems in order to provide easy access to the required information
• Design, create, and maintain analytical infrastructure
• Develop your own knowledge through training, skills upgrading, and work with a mentor

Qualifications:

The ideal candidate has:

• At least 4 years of professional experience
• Experience with Data Engineering & Spark
• Solid understanding of data modeling and data storage
• Solid understanding of SQL and NoSQL; and one of the following languages: Python, Java, Scala, R, Bash, C++, .NET
• Hands-on experience with AWS, GCP, or Azure
• Hands-on experience with building ETL processes
• Experience working with Docker
• A B1 level of English or higher,
• A desire to improve their skills and keep abreast of the latest technological advances in .NET development

About us

At iTechArt, we assemble senior-level, dedicated teams of developers to help fast-growing startups and innovative enterprises drive impact and achieve their goals. We’ve delivered solutions across multiple domains, including FinTech, PropTech, AdTech, HealthTech, e-commerce, and more.

Our Data team works with clients to create data platforms from scratch or modify and update existing platforms. The tech stack depends on the project, but we mainly use Spark (along with Scala, Python, or Java) – as well as Apache Kafka, Apache Cassandra, Apache Hadoop, Apache Parquet, and AWS.

Internal knowledge transfer activities are conducted within the Data Engineering Family (which includes data practice & data competency) – it is a space for all of our specialists to share their experiences, learn new skills, host meetups, mentor others, and more.

Benefits:

Learning & Development:
Our company culture is rooted in the belief that ongoing growth benefits employees and the company. Because of that, we offer:

• An individualized approach to career development, tailoring growth plans to every role
• Access to our technology mentorship program as a mentor or mentee
• The opportunity to contribute to numerous original projects in 30 different fields

And that's not all! We also offer:

• Expanded medical insurance for employees
• 20 working days of vacation per year
• English courses from level Elementary up to Intermediate+ and specialized trainings
• Сonferences & meetups, organized by our company
• Corporate getaway & teambuilding activities
• Pizza days, office gatherings and more from our Employee Happiness team
• And referral bonuses!