Data Engineer

Kaunas, Lithuania

Job Description

  • Design, implement and support ETL/ELT data pipelines for structured and timely data consumption for purposes of internal teams and external customers

  • Building controls to verify data quality to ensure the data, that reaches consumers is in good shape

  • Collaborate with cross-functional team to implement scalable, automated infrastructures for data ingestions, processing, aggregation and delivery

  • Leverage technology and orientate engineering solutions to optimize performance, in order to serve high volume of data requests through API

  • Develop distributed data processing pipelines in clients ecosystem using Airflow, Python, Snowflake, S3, ElastiCache, Kafka etc.

Requirements

  • Strong background in data engineering with some experience in BI or data analytics

  • Experience developing databases, cloud based solutions, data pipelines with e.g. AWS, Azure, Snowflake, Redshift, Airflow

  • Experience and knowledge of SQL and Python

  • Experience with modern data stack e.g. Airflow, Kafka, Spark, Redis, Elasticache

Benefits

  • A digital products focused company with a variety of challenging engagements with upper mid-market and Fortune organizations

  • A chance to work with the top talent professionals and award winning teams across different countries

  • Competitive salary and performance based bonuses

  • Private health insurance

  • Personal accident insurance

  • 2 additional vacation days

  • Remote work opportunities

  • Sponsored participation in professional improvement events

  • Great team building events

  • Sports activities including gym benefit

  • Employee referral program

Salary range for this position is from 2700 EUR to 6125 EUR gross before taxes.*

*Salary offer for the candidate is determined based on the predefined salary ranges for the position and depends on the level of competence and experience of the candidate.