We're currently recruiting on behalf of one of our clients a leading global technology company specializing in digital transformation, agile software development, and IT services. With offices across Romania and a strong international presence, our client partners with some of the worlds top brands to deliver innovative, high-quality digital solutions.
Responsibilities:
Work together with data engineers, scientists and analysts to understand the needs for data and create effective data pipelines
Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
Create and maintain data solutions mostly in Azure, AWS or GCP (Redshift, Aurora, Athena, Data Factory, Big Query etc.) and rarely on-premise (Sql Server, Oracle, Postgresql)
Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.
Qualifications
Proficient in Python and SQL
Strong experience with Relational and ideally NoSQL databases.
Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
Strong understanding of ETL/ELT processes.
Exposure to data monitoring and observability tools.
Relevant experience with Event-Driven Architecture