Ternopil, Office/Hybrid
Full Time
As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and data infrastructure that support analytics and data-driven decision-making. You will work closely with Data Scientists, Analysts, and other engineering teams to integrate data from multiple sources, transform and process large datasets, and ensure reliable and efficient data availability for downstream applications and analytics
Requirements:
1+ years of experience in Data Engineering / Analytics
Strong SQL knowledge:
complex joins
window functions
aggregations
basic query optimization
Good Python skills for data processing, OOP
Understanding of ETL/ELT concepts
Experience working with parquet / json / csv formats
Basic understanding of Data Lake concepts
AWS:
Hands-on experience with Amazon Web Services (AWS)
Experience with:
Amazon S3 (buckets, lifecycle, permissions)
Amazon RDS
AWS IAM (roles & policies basics)
Amazon EC2
Basic understanding of VPC and security groups
As a plus:
Experience with Apache Spark
Experience with Apache Airflow
Familiarity with Docker, Docker-compose, Kubernetes
Experience with Databricks
Responsibilities:
Design and maintain data pipelines to ingest, transform, and load data from various internal and external sources into data warehouses or data lakes.
Develop and optimize data processing workflows for large-scale datasets using distributed processing frameworks and SQL-based transformations.
Ensure data quality, reliability, and monitoring by implementing validation, logging, and alerting mechanisms across data pipelines.
Collaborate with Data Scientists and Analysts to provide clean, well-structured datasets and support analytical and reporting use cases.
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
Vitaliy Fedorovych
CEO, Data Scientist at Amazinum

Hello there!
Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together
- 4A Peremohy square, Ternopil, Ukraine, 46000
- +380 98 85 86 330
- vfedorovych@amazinum.com
Contact Us
Contact Us
UKRAINE
ESTONIA
Amazinum OÜ
Registry Code: 16893164
