Senior Data Engineer (вакансія неактивна)

Our client services large investment funds from the US, Canada, and Europe. Among their main areas is the management of funds and asset portfolios.

Working on a greenfield project using modern technology to build a high-quality Data Platform and integrate it with the existing software.

DataArt’s distributed team consists of 30 people, and the in-house team is 50+ people

Position overview

The successful candidate will be involved into work within a small IT team. They will be communicating directly with the stakeholders on the client side, as well as colleagues from another project.

Technology stack

SQL, Python
Azure Cloud Data Ecosystem
Databricks

Responsibilities

• Design and develop data analytical platform based on modern Azure Cloud data ecosystem
• Create and maintain efficient, scalable data models to organize and structure complex datasets for optimal analysis and reporting
• Implement and manage DataOps practices to streamline data workflows, ensure data quality, and facilitate collaboration between data engineering and other teams

Requirements

• 4-5 years of experience or 3-5 completed projects
• Knowledge of data management fundamentals (data modeling, ELT/ETL, data quality, metadata management, data warehouse/lakes patterns, distributed systems)
• Strong SQL skills
• Experience with Databricks
• Knowledge of programming language Python
• Hands-on experience with data processing software and algorithms

Nice to have

• Experience with Microsoft Fabric
• Experience with Terraform
• Experience with Snowflake

We offer

• Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, try yourself in different roles;
— More than 150 workplaces for advanced training;
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities.
• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
• Friendly atmosphere, concern for the comfort of specialists;
• Flexible schedule (there are core mandatory hours), the ability to work remotely upon agreement with colleagues.