Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to design, build, and maintain scalable data infrastructure and pipelines. In this role, you will be responsible for enabling reliable data processing, ensuring high data quality, and supporting analytical and business intelligence needs across the organization. You will work with large-scale distributed systems, modern data platforms, and both batch and real-time data processing frameworks.
 

Key Responsibilities:

• Design, develop, and maintain robust ETL/ELT data pipelinesBuild and optimize scalable data processing systems (batch and streaming)
• Architect and manage data lakes, data warehouses, and data marts
• Develop data transformations using SQL, Python, and Apache Spark (PySpark)
• Integrate data from various sources (databases, APIs, streaming systems)
• Ensure data quality, integrity, and consistency through validation and monitoring
• Optimize performance of data pipelines (partitioning, indexing, query tuning)
• Implement and maintain workflow orchestration (e.g., Apache Airflow)
• Collaborate with cross-functional teams (Data Analysts, Data Scientists, Backend Engineers)
• Support and contribute to CI/CD pipelines for data workflows
• Document data architecture, processes, and standards

Required Qualifications
 

Technical Skills:

• 4+ years of professional experience as a Data Engineer or in a similar role
• Strong proficiency in SQL (e.g., PostgreSQL, Snowflake, BigQuery, Redshift)
• Hands-on experience with Apache Spark / PySpark
• Solid understanding of data modeling (normalized and dimensional models)
• Experience designing and implementing ETL/ELT pipelines
• Experience with cloud platforms (AWS, GCP, or Azure)

Experience with:

• Kubernetes
• Containerization tools (Docker)
• Version control systems (Git)
   

Nice to Have:

• Experience with stream processing (e.g., Apache Kafka, Kinesis, Flink)
• Knowledge of modern data stack tools (e.g., dbt, Delta Lake, Iceberg)
• Experience with data governance and lineage tools
• Exposure to infrastructure as code (e.g., Terraform)
   

What we offer:

• Paid vacation and sick leaves
• Competitive salary
• Flexible work schedule
• Career growth
• Corporate celebrating and presents
• Corporate English courses
• Office/hybrid work in Ternopil or opportunity for remote work
• Coffee, tea, fruits, and cookies
  in the office