Big Data Engineer

Your main task will be:

• Ensure data quality and integrity through data governance best practices, including validation, transformation, and security protocols, using technologies such as PySpark, Impala, Hive, HDFS, ClickHouse, Zabbix, and Airflow
• Collaborate with the project management team to develop the overall implementation solution plan and actively contribute to project life cycle phases, leveraging technologies like PySpark and Airflow
• Continuously monitor and improve the performance of data systems to ensure they are optimized for speed, reliability, and scalability, utilizing technologies like PySpark and HDFS

Job Requirements

• 3+ years of data engineering or similar technical experience
• Knowledge of SQL, Data modelling architecture and ETL processes with tools such as Apache Airflow
• Proficiency in PySpark, Python, Linux, HDFS, Elasticsearch, ClickHouse, and various SQL databases
• Experience with AWS and NiFi is a plus
• Strong analytical and problem-solving skills

Benefits:

• Have freedom to implement best ideas
• Personal phone with unlimited calls, SMS, and data
• 5G mobile router for your home or travels
• Go3 + Netflix subscription for your downtime
• Comprehensive health and accident insurance
• Tier III pension accumulation plan
• Flexible hybrid setup: 4 days in our Vilnius office, 1 day remote
• Workation options and flexible working hours
• Themed company events, engaging team activities, and a fun, modern work culture

Gross salary 3000 – 4200 EUR/month