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.

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.

Skills

Benefits