BrainRocket is a software development company and digital solutions provider.
The company has created over 40 cutting-edge products spanning 20 different markets.
Our team of around 670 tech-savvy professionals successfully delivers scalable projects that are custom-made to the customers' needs.
We also strive to create a culture centered around personal and professional growth for employees, in a positive and welcoming environment.
We are seeking a highly skilled Senior Data Engineer with expertise in managing, designing, and optimizing data pipelines utilizing Apache Airflow, Snowflake, and Apache Kafka.
This individual will play a pivotal role in architecting robust, scalable, and efficient data solutions, ensuring the integrity, reliability, and accessibility of our data infrastructure.
Responsibilities:The responsibilities and duties of the Senior Data Engineer include, but are not limited to:
Develop and implement data models to support business requirements, optimizing for performance and scalability.Design, build, and maintain scalable data pipelines using Apache Airflow.Implement and maintain Kafka-based streaming data pipelines for real-time data processing and integration with various systems.Integration to third party databases and APIs.Establish monitoring, alerting, and maintenance procedures to ensure the health and reliability of data pipelines.Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements.Requirements:We are looking for a team player with experience in:
Data warehouse and data modelling techniques.Experience in designing, building, and maintaining complex data pipelines using Airflow.Proven track record in data engineering roles, with a focus on designing and implementing scalable data solutions using Snowflake or Redshift.In-depth understanding and practical experience in implementing Kafka-based streaming architectures for real-time data processing.Proficiency in programming languages such as Python, SQL, and experience with data manipulation and transformation.Why you should join us?Opportunity for career progress in a fast-growing European company.Private Health Insurance.Corporate Discounts.Regular team & company events.People-oriented management without bureaucracy.24 days of paid holidays.Friendly team.Full-time, in-house, standard business hours.Competitive salary.
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