Data Engineer designing and implementing data ingestion systems for IT consulting firm. Involves managing data architectures and developing ETL/ELT pipelines using modern tools and frameworks.
Responsibilities
Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing
Build and optimize data architectures for performance, scalability, and reliability
Develop and maintain ETL/ELT pipelines using modern tools and frameworks
Requirements
Good understanding and working knowledge of DWH (Sybase/Oracle) and RDBMS (MS SQL)
Proven experience with SQL and Python; Other ETL engines are a plus
Demonstrated expertise in Apache Airflow is an advantage
Good understanding and expertise in Data warehouse management and concepts
Exposure to utilize the AI technologies for better productivity
Hands-on experience with cloud platforms (AWS, Azure, or GCP)
Benefits
Diverse and technically challenging projects;
Flexible working hours and hybrid or remote workplace model;
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