About the role
We are seeking a skilled and proactive Data Engineer who is passionate about building modern data infrastructure. In this role, you will design, implement, and maintain scalable data pipelines and data marts. Strong communication skills and the ability to collaborate effectively with cross-functional teams are essential for success.
You will help transform raw data from multiple sources into high-quality, structured data products that support data-driven business decisions. The ideal candidate combines solid technical expertise with initiative and clear communication to contribute to a dynamic and collaborative team environment.
About the project
The client is a tech company focused on centralizing and connecting large volumes of real estate data, making it easier for users to access key information and make data-driven strategic decisions.
Our team will support the project on the data engineering side, helping build and optimize the data platform using a modern stack that includes GCP, dbt, Snowflake, Python, and T-SQL.
Who are we looking for?
Skills & Experience
- Bachelor's degree in Computer Science, Engineering, or related field;
- 5+ years of experience in data engineering roles;
- Strong understanding of data governance, data modeling & analysis, and data quality concepts and requirements;
- Understanding of data lifecycle, DataOps concepts, and basic design patterns;
- Strong knowledge in SQL, database management systems and optimization;
- Strong understanding of ETL/ELT processes and workflow orchestration tools (e.g., Airflow) and real-time technologies;
- Proficiency in programming languages like Python, Java;
- 5+ years of experience working with big data tools and cloud data platforms (at least one AWS, Azure, GCP);
- Knowledge of modern data warehousing tools like Snowflake, Databricks, and Redshift;
- Experience with data visualization tools;
- Knowledge of machine learning frameworks;
- Analytical mindset with problem-solving skills for debugging complex systems;
- Excellent communication skills for collaborating with technical and non-technical teams.
Responsibilities
- Design, develop, and maintain scalable data processing systems and pipelines;
- Automate and improve data processes for scalability and efficiency;
- Optimize DB queries and systems for speed and efficiency;
- Design and implement efficient data storage solutions (e.g., relational databases, data lakes, warehouses);
- Monitor data infrastructure for performance and reliability;
- Implement validation processes to ensure high-quality, clean, and reliable datasets and advanced data governance frameworks;
- Develop tools/scripts to automate repetitive tasks for data processing and monitoring;
- Collaborate closely with the team members and other stakeholders;
- Provide technical support and mentoring to junior data engineers;
- Participate in data governance and compliance efforts;
- Document data pipelines, processes, and best practices;
- Evaluate and recommend new data technologies.
What we offer
Work:
- Flexible working hours;
- Collaborative, friendly team environment;
- Remote/Hybrid work;
Life:
- Company social events;
- Annual corporate parties;
Health:
- Comprehensive medical insurance;
Education:
- Allowances for professional education;
- English language courses with native speakers;
- Internal knowledge-sharing sessions.
About Proxet
Proxet is a professional software development firm trusted by clients from around the world. With our expertise in AI and machine learning, we help businesses reimagine their possibilities and transform ideas into tangible digital solutions. By providing core services with an emphasis on data practices, we shape the future, one step at a time.
If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill in the form!
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