The interview process has not been published for this job.
Description: The data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis. They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise. Responsibilities: · Designs, develops, and maintains robust data pipelines using Databricks and Apache Spark, that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems. · Implement and manage advanced data products in our medallion architecture. · Implement and manage advanced data models, including dimensional, relational, and Data Vault modeling techniques. · Integrates data from different sources, including databases, data warehouses, APIs, and external systems. · Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed. · Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques. · Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency. · Monitors and tunes data systems, identifies and resolves performance bottlenecks,
Dutch company
0 applications handled on hiARed so far. Scores appear after 10, so one hire cannot skew them.
Salary not published
Salary not published
Salary not published
Salary not published
Salary not published
Salary not published
Salary not published
