Senior Data Engineer

Job Summary

Key Responsibilities

• Design, build, and maintain robust ETL pipelines to handle large volumes of data.
• Work closely with cross-functional teams to gather data requirements and deliver scalable solutions.
• Write clean, maintainable, and efficient code using object-oriented programming and SOLID principles.
• Optimize SQL queries and data models for performance and reliability.
• Use AWS services (S3, Redshift, etc.) to develop and deploy data solutions.
• Troubleshoot issues in data pipelines and perform root cause analysis.
• Collaborate with DevOps/infra teams for deployment, monitoring, and scaling data Skills :
• 6+ years of experience in Data Engineering.
• Programming : Proficiency in any object-oriented language (e.g., Java, Python, etc.) Bonus: Experience in Ruby is a big plus.
• SQL : Moderate to advanced skills in writing complex queries and handling data transformations.
• AWS : Must have hands-on experience with services like S3 and Redshift.
• Linux : Familiarity with Linux-based systems is good to Qualifications :
• Experience working in a data/ETL-focused role.
• Familiarity with version control systems like Git.
• Understanding of data warehouse concepts and performance tuning.