002AJM - SQL Data Engineer
Description:
• Data Engineer with expertise in SQL, Data Modeling, AWS Glue, Python, and MS Excel.
• Design scalable data solutions, build reliable pipelines, and ensure high-quality, well-modeled data to drive business insights.
• Design and maintain robust data models to support analytics and reporting needs.
• Develop and optimize ETL pipelines using AWS Glue for scalable data processing.
• Write and tune SQL queries to extract, transform, and analyze large datasets.
• Use Python for data automation, validation, and process improvement.
• Leverage MS Excel for advanced data analysis, reporting, and validation tasks.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.
• Ensure data accuracy, reliability, and governance across all environments.
Requirements:
• 5+ years of experience in data engineering or related roles.
• Strong proficiency in SQL for complex query development and optimization.
• Expertise in data modeling techniques (relational and dimensional).
• Hands-on experience with AWS Glue for building and managing ETL pipelines.
• Proficiency in Python for scripting and workflow automation.
• Advanced MS Excel skills for reporting, validation, and analysis.
• Excellent problem-solving skills, attention to detail, and ability to work in a collaborative environment.
Benefits:
Apply Now
Apply Now
• Data Engineer with expertise in SQL, Data Modeling, AWS Glue, Python, and MS Excel.
• Design scalable data solutions, build reliable pipelines, and ensure high-quality, well-modeled data to drive business insights.
• Design and maintain robust data models to support analytics and reporting needs.
• Develop and optimize ETL pipelines using AWS Glue for scalable data processing.
• Write and tune SQL queries to extract, transform, and analyze large datasets.
• Use Python for data automation, validation, and process improvement.
• Leverage MS Excel for advanced data analysis, reporting, and validation tasks.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective data solutions.
• Ensure data accuracy, reliability, and governance across all environments.
Requirements:
• 5+ years of experience in data engineering or related roles.
• Strong proficiency in SQL for complex query development and optimization.
• Expertise in data modeling techniques (relational and dimensional).
• Hands-on experience with AWS Glue for building and managing ETL pipelines.
• Proficiency in Python for scripting and workflow automation.
• Advanced MS Excel skills for reporting, validation, and analysis.
• Excellent problem-solving skills, attention to detail, and ability to work in a collaborative environment.
Benefits:
Apply Now
Apply Now