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Senior Data Engineer (GovTech and Public Sector)

Sigma Software · зарплата не указана · Lviv, Lviv Oblast, Ukraine · сайт компании · опубликовано 31 марта 2026 г.

Компания Sigma Software
Источник сайт компании
Опубликовано 31 марта 2026 г.
Зарплата зарплата не указана

Описание вакансии

Are you an experienced Data Engineer ready to tackle complex, high-load, and data-intensive systems? We are looking for a Senior professional to join our team in Ukraine, Europe, working full-time on a project that will make a real impact in the public sector.
At Sigma Software, we specialize in delivering innovative solutions for enterprise clients and public organizations. In this role, you will contribute to building an integrated platform that collects, processes, and visualizes critical indicators, enabling better decision-making and analytics.
Why join us? You will work with a modern big data stack, have end-to-end involvement from ingestion to machine learning workflows, and be part of a professional team that values ownership, collaboration, and continuous improvement.
PROJECT
You will be involved in developing an integrated platform that processes both batch and streaming data, ensures secure and governed data environments, and supports advanced analytics and machine learning workflows. The solution will leverage modern big data technologies to provide actionable insights for the public sector.
Design and implement data ingestion pipelines for batch and streaming data
Configure and maintain data orchestration workflows (Airflow, NiFi) and CI/CD automation for data processes
Design and organize data layers within Data Lake architecture (HDFS, Iceberg, S3)
Build and maintain secure and governed data environments using Apache Ranger, Atlas, and SDX
Develop SQL queries and optimize performance for analytical workloads in Hive/Impala
Collaborate on data modeling for analytics and BI, ensuring clean schemas and dimensional models
Support machine learning workflows using Spark MLlib or Cloudera Machine Learning (CML)
Proven experience in building and maintaining large-scale data pipelines (batch and streaming)
Strong knowledge of data engineering fundamentals: ETL/ELT, data governance, data warehousing, Medallion architecture
Strong SQL skills for Data Warehouse data serving
Minimum 3 years of experience in Python or Scala for data processing
Hands-on experience with Apache Spark, Kafka, Airflow, and distributed systems optimization
Experience with Apache Ranger and Atlas for security and metadata management
Upper-Intermediate English proficiency
WILL BE A PLUS
Experience with Cloudera Data Platform (CDP)
Advanced SQL skills and Hive/Impala query optimization
BS in Computer Science or related field
Exposure to ML frameworks and predictive modeling
PERSONAL PROFILE
Ownership mindset and proactive approach
Ability to drive initiatives forward and suggest improvements
Team player with shared responsibility for delivery speed, efficiency, and quality
Excellent written and verbal communication skills

Навыки

  • Airflow
  • CI/CD
  • SQL
  • Python
  • Kafka
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