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Description:
- Develop and maintain scalable ETL/ELT processes for data collection, transformation, and loading.
- Design and implement robust data pipelines for real-time and batch data processing.
- Ensure data quality, consistency, and availability for analytical and operational systems.
- Optimize query performance and database architecture.
- Automate the deployment and monitoring of data infrastructure components.
- Collaborate with analytics, development, and business teams to implement data-driven solutions.
Requirements:
- 2+ years of relevant experience in data engineering.
- Solid commercial experience with Python and Groovy.
- Deep knowledge of Apache NiFi and hands-on experience in building and administering complex data flows.
- Proficient in PostgreSQL with experience in query optimization and data schema design.
- Experience with Apache Kafka for building real-time data pipelines.
- Bonus: Experience with Apache Airflow, Apache Spark, AWS Athena, S3, Apache Iceberg, and Kubernetes.
Benefits:
- Competitive salary with annual bonuses and a referral reward program.
- Social package including official employment, 28 days of paid leave, and financial assistance for parents.
- Comfortable working conditions with a hybrid work format and modern equipment.
- Wellbeing program with medical insurance, consultations, and discounts.
- Access to over 130 online educational resources and corporate training programs.
- Opportunities for career advancement and a supportive team environment.
Job title
Job type
Experience level
Required experience
2 years
Salary
-
Degree requirement
No degree requiredSkills
Location requirements
Ukraine
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