Senior Data Engineer (Databricks)

We are seeking an experienced Senior Data Engineer to help build and scale modern data platforms that power analytics, reporting, and data-driven decision-making. In this role, you will work with cloud-based data ecosystems, leveraging Databricks and Spark technologies to process large volumes of data and deliver high-performance solutions across the organization.

You'll collaborate closely with engineering teams, analysts, and business stakeholders to design robust data architectures, improve data reliability, and support mission-critical initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and processing frameworks.
• Create and optimize ETL/ELT workflows for efficient data ingestion and transformation.
• Work with high-volume datasets in distributed computing environments.
• Develop data models, transformation logic, and integrations across multiple systems.
• Partner with cross-functional teams to understand data requirements and deliver reliable solutions.
• Monitor and improve data quality, platform performance, and operational stability.
• Contribute to architecture decisions and implement data engineering best practices.
• Support cloud-based data infrastructure and continuous improvement initiatives.

Required Qualifications

• 7+ years of professional experience in Data Engineering.
• Proven hands-on expertise with Databricks in production environments.
• Strong experience with Apache Spark and PySpark.
• Advanced SQL skills with a focus on performance optimization.
• Solid background building and maintaining ETL/ELT processes.
• Strong Python development experience.
• Experience working with large-scale data processing and analytics platforms.
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
• Professional proficiency in both English (C1) and Russian (C1).
• Strong problem-solving skills and ability to work independently in a remote environment.

Contract Details

• Full-time engagement under a B2B agreement.
• Long-term, open-ended collaboration.
• Monthly gross compensation.
• Payments made to the contractor's registered business account (FOP / Sole Proprietorship / equivalent).
• Contractor is responsible for managing and paying their own taxes.
• Standard 8-hour workday.
• 30-day notice period.

Nice to Have

• Experience designing data lake or lakehouse architectures.
• Familiarity with data governance, monitoring, and observability tools.
• Experience supporting analytics, BI, or machine learning workloads.

If you have a strong background in Databricks and large-scale data engineering and are looking for a long-term remote opportunity, we'd love to hear from you.