AWS Data Engineer with Databricks Expertise
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Lead innovative data engineering efforts as a Senior Data Engineer with expertise in AWS and Databricks. This role involves designing scalable data architectures and implementing data solutions.
We are searching for a Senior Data Engineer with a minimum of 12 years of experience in data systems, architecture, and engineering. You will utilize your advanced knowledge of the Databricks ecosystem and AWS services to create and optimize data pipelines and models. This role requires strong consultative problem-solving abilities and technical leadership to support various enterprise data initiatives.
Key Responsibilities: • Develop scalable data pipelines using Databricks and AWS technologies • Lead transformation and modeling efforts for enterprise data • Implement robust data models for reporting and analytics • Gather business requirements for technical execution • Ensure data quality, monitoring, and operational standards
Requirements: • 12+ years in Data Engineering or Architecture • In-depth knowledge of AWS Data Services and Databricks • Advanced skills in SQL and Python for ETL/ELT • Experience with CI/CD practices and production deployment • Proven leadership in ambiguous business environments
Shape enterprise data solutions with your expertise in data engineering and architecture. #J-18808-Ljbffr
We are searching for a Senior Data Engineer with a minimum of 12 years of experience in data systems, architecture, and engineering. You will utilize your advanced knowledge of the Databricks ecosystem and AWS services to create and optimize data pipelines and models. This role requires strong consultative problem-solving abilities and technical leadership to support various enterprise data initiatives.
Key Responsibilities: • Develop scalable data pipelines using Databricks and AWS technologies • Lead transformation and modeling efforts for enterprise data • Implement robust data models for reporting and analytics • Gather business requirements for technical execution • Ensure data quality, monitoring, and operational standards
Requirements: • 12+ years in Data Engineering or Architecture • In-depth knowledge of AWS Data Services and Databricks • Advanced skills in SQL and Python for ETL/ELT • Experience with CI/CD practices and production deployment • Proven leadership in ambiguous business environments
Shape enterprise data solutions with your expertise in data engineering and architecture. #J-18808-Ljbffr
Reference: WJ-3875_13024302