This job offer is no longer available
About
We are seeking a Data Engineer to build and maintain scalable data infrastructure that supports analytics and machine learning initiatives. This role focuses on ensuring data is reliable, accessible, and optimized for performance across batch and real-time processing systems.
Key Responsibilities:
Build and maintain ETL/ELT pipelines for batch and streaming data processing Manage and optimize data platforms including data warehouses and data lakes such as Snowflake, BigQuery, and S3 Work with distributed processing systems such as Spark and Kafka Implement data quality checks, validation processes, monitoring, and lineage tracking Optimize data pipelines for scalability, performance, and efficiency Required Qualifications:
7-10 years of experience in data engineering or a related field Preferred Qualifications:
Strong SQL and programming skills in Python, Scala, or Java Experience with big data tools and workflow orchestration systems Knowledge of cloud-based data architectures Understanding of data modeling and schema design
Languages
- English
Notice for Users
This job was posted by one of our partners. You can view the original job source here.