Data Engineer (Python)

Acumenz Consulting is seeking a Data Engineer (Python) to design and maintain scalable data pipelines. The role involves optimizing data processes, collaborating with teams, and ensuring data quality across systems.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Python
• Build and optimize ETL/ELT processes for large-scale data processing
• Work with structured and unstructured data from multiple sources
• Develop and manage data workflows using tools like Airflow or similar schedulers
• Write efficient SQL queries and optimize database performance
• Collaborate with data analysts, scientists, and business teams to deliver data solutions
• Ensure data quality, integrity, and governance across systems
• Work with cloud platforms (AWS, Azure, or GCP) for data storage and processing
• Implement data security and compliance best practices
• Troubleshoot, debug, and enhance existing data systems and pipelines

Requirements:

• Atleast 10 years of experience
• DOB not more than 1991/92
• Design, develop, and maintain scalable data pipelines using Python
• Build and optimize ETL/ELT processes for large-scale data processing
• Work with structured and unstructured data from multiple sources
• Develop and manage data workflows using tools like Airflow or similar schedulers
• Write efficient SQL queries and optimize database performance
• Collaborate with data analysts, scientists, and business teams to deliver data solutions
• Ensure data quality, integrity, and governance across systems
• Work with cloud platforms (AWS, Azure, or GCP) for data storage and processing
• Implement data security and compliance best practices
• Troubleshoot, debug, and enhance existing data systems and pipelines