About the role
We are seeking a Lead/Architect Data Engineer to lead the design and implementation of robust data pipelines and warehouse solutions leveraging Snowflake, AWS / Azure. This role will focus on ingesting and transforming data from marketing and sales systems, enabling advanced analytics and reporting capabilities. The candidate will play a key advisory role in defining and implementing best practices for data ingestion, transformation, and reporting.
About the project
Our client is a global real estate services company specializing in the management and development of commercial properties. Over the past several years, the organization has made significant strides in systematizing and standardizing its reporting infrastructure and capabilities. Due to the increased demand for reporting, the organization is seeking a dedicated team to expand capacity and free up existing resources.
Who are we looking for?
Skills & Experience
- Bachelor's degree in Computer Science, Engineering, or related field;
- 7+ years of experience in data engineering/ architecture roles;
- Database management and SQL proficiency, Knowledge of modern data warehousing tools like Snowflake, Databricks, Redshift (hands-on);
- Data modeling and design;
- Programing skills (Spark, Python);
- Experience of data governance frameworks and compliance requirements;
- Knowledge of big data technologies, machine learning integration or API development;
- Proficiency with cloud platforms ( at least one AWS, Azure, GCP) for scalable solutions;
- Expertise in streaming pipeline design and complex data transformation;
- Ability to analyze system requirements and translate them into effective technical designs;
- Experience with performance optimization for large-scale databases;
- Understanding knowledge of CI/CD practices;
- Problem-solving mindset to address technical challenges in dynamic environments;
- Collaboration skills to work effectively with cross-functional teams;
- Expertise in using and/or introducing AI-based coding practices to the projects.
Responsibilities
- Design and maintain the organization’s data architecture, including databases, data warehouses, and data lakes;
- Develop and implement data models to structure and organize data for storage and access;
- Design data pipeline architectures to handle real-time data processing;
- Define and implement Changed Data Capture (CDC) pipelines;
- Ensure data security, integrity and compliance, and assist in implementing data governance practices;
- Monitor system health, identify bottlenecks, and recommend improvements to ensure scalability and efficiency;
- Collaborate with cross-functional teams on data relation topics;
- Stay updated on emerging technologies to continuously improve the organization's data infrastructure.
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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