Position: Data engineer
Company: Videal
Category: Data Science
Experience required: 3y
English level: intermediate

The main aim of the system is creating a variety of efficient algorithms and pipelines for business intent search. The successful candidate will participate in data preparation from data engaging to data analysis, from web crawling to machine learning to create reports and API for marketing campaigns.

Обязанности:
— Analysis, Interpretation and Validation data sources.
— Writing batch & stream data processing solutions, ETL processes, automated workflows on Spark, Java and Scala.
— Testing data pipelines and data quality using modern approaches.

Необходимые навыки:
— Proficiency in SQL;
— Experience in Data Engineering using Spark/Java/Hadoop;
— Understanding of data modeling and data warehousing concepts;
— Hands-on experience with Java;
— Understanding the principles of parallel processing;
— Successful communication and interpersonal skills;
— ETL development background.

Будет плюсом:
— Experience using Scala, Python, Groovy;
— Working experience with AWS Cloud;
— Process orchestration software: Apache Airflow / Prefect / Dagster;
— Serverless computation frameworks.

Предлагаем:
— Aid sick leaves, vacation day, and days off on childbirth, marriage, funeral;
— Flexible working hours (40h a week without overtimes);
— Comfortable office with kitchen, relax zone, open-air terrace located 7 min from Constitution Sq. metro station;
— Competitive salary and bonuses;
— The friendly environment of highly skilled professionals;
— Corporate events, team buildings, and board games, participation in conferences, specialized courses (50% cost coverage).