Data Engineer+ML

We operate in the marketing industry, specializing in lead generation for our clients from different industries. We specialize in solving complex challenges in processing and analyzing large-scale data.

Our system focuses on two key objectives:

• Matching users with the best “offers” by analyzing their needs and aligning them with partner solutions.
• Driving high-quality, relevant traffic to our partners’ offers, ensuring maximum conversion rates.

We leverage a data-driven approach, utilizing analytics, machine learning, and automation to:

• Optimize the lead generation process
• Improve personalized recommendations
• Enhance marketing campaign efficiency
• Increase conversion rates and lead quality

Your Responsibilities:

• Data Collection & Ingestion: Acquire and ingest data from diverse sources, including OLTP/OLAP databases, event streams, logs, third-party APIs, and file/object storage.
• Connector Configuration: Set up and manage data source connectors to ensure seamless data flow into the Data Lake.
• Data Modeling & Documentation: Design, document, and maintain data models to support efficient storage, retrieval, and processing.
• ETL/ELT Pipeline Development: Build, optimize, and maintain batch and streaming data pipelines for efficient data processing.
• Data Warehousing & Lake Management: Organize and manage Data Warehouses and Data Lakes to ensure scalability, security, and performance.
• Data Preparation for BI & ML: Transform and curate data to support Business Intelligence and Machine Learning workflows.
• Data Quality & Observability: Implement testing, monitoring, and observability frameworks to ensure data accuracy, reliability, and consistency.

Your Experience:

• Russian fluent
• Understanding of ETL-processes
• Experience in Data preparation and maintenance for ML models
• Experience in deploying ML models as API endpoints
• Programming skills in Python (Pandas)
• Strong proficiency in SQL
• Analytical databases (BigQuery)
• Experience with Cloud Platforms (GCP, others)
• GCS / AWS S3 / Azure Blob Storage
• Fundamentals of mathematical statistics and data processing algorithms
• PDocker / Kubernetes

We Offer:

• Top rate pay
• Language classes compensation
• Flexible working hours
• Senior-level team