11.09.2025

Вакансия Data Engineer


Компания:	AgileEngine
Домен вакансии:	Machine Learning / Big Data
Опыт работы:	от 5 лет
Уровень специалиста:	Senior
Уровень английского:	Upper-Intermediate / B2
Тестовое задание:	Есть задание
Занятость:	Full-time
Релокейт:	Без релокейта
Место работы:	Remote
Локация:	Україна, Brazil, Bulgaria, Portugal, Romania, Spain, Poland

Skills

AWS
Amazon S3
EMR
AWS Glue
AWS Lambda
Amazon Redshift
Hadoop
HDFS
Hive
MapReduce
Apache Spark
PySpark
Spark SQL
RDBMS
NoSQL
Python
Java
Scala
AirFlow
AWS Step Functions
ETL
ELT
Kafka
AWS Kinesis
Apache Flink
Docker
Kubernetes

Описание вакансии

What you will do

Design, build, and maintain large-scale data pipelines and data processing systems in AWS;
Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies;
Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions;
Implement best practices for data governance, security, and compliance;
Monitor, troubleshoot, and improve the performance of data systems and pipelines;
Mentor junior engineers and contribute to building a culture of technical excellence;
Evaluate and recommend new tools, frameworks, and approaches for data engineering.

Must haves

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
5+ years of experience in data engineering, software engineering, or related roles;
Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark (PySpark, Spark SQL, streaming);
Strong SQL skills and experience with relational and NoSQL databases;
Proficiency in Python, Java, or Scala for data processing and automation;
Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
Excellent problem-solving skills and ability to work in fast-paced environments;
Ability to work German TimeZone (~ 6-7 am to ~ 2-3 pm Brazil/ ART time);
Upper-Intermediate English level.

Nice to haves

Experience with real-time data streaming platforms (Kafka, Kinesis, Flink);
Knowledge of containerization and orchestration (Docker, Kubernetes);
Familiarity with data governance, lineage, and catalog tools;
Previous leadership or mentoring experience.

Этапы собеседования

Review your CV
Test task
Intro Call
Technical Interview

Преимущества сотрудникам

Гнучкий графік роботи
Зарплатня вище ринку
Регулярний перегляд зарплатні

О компании AgileEngine

AgileEngine – международная компания, разработчик программного обеспечения на заказ. Работает с венчурными стартапами и известными технологическими брендами, предлагает полный спектр услуг от выделенных удаленных команд до консультаций на месте.

Сайт компании: agileengine.com
Год основания: 2010
Количество сотрудников: 1001-5000
Тип компании: Product / Startup, Outsource