Job Summary :
We are seeking a Data Engineer with expertise in SQL, Data Modeling, AWS Glue, Python, and MS Excel.
The ideal candidate will design scalable data solutions, build reliable pipelines, and ensure high-quality, well-modeled data to drive business insights.
Key Responsibilities :
- 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.(ref : hirist.tech)