Job VC

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.