Data Engineer

Job Summary

We are looking for a skilled Data Engineer with strong hands-on experience in AWS to design, build, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have expertise in modern data warehousing, ETL/ELT development, and distributed data processing while ensuring data quality, performance, and security.

• Design, develop, and maintain scalable data pipelines using AWS services
• Build and optimize ETL/ELT workflows for structured and unstructured data
• Implement data lakes and data warehouses on AWS
• Work with large datasets to ensure high performance, reliability, and data integrity
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements
• Perform data modeling for analytical and operational use cases
• Ensure data quality, governance, and security best practices
• Monitor and troubleshoot data workflows and production issues
• Support CI/CD and automation for data platform deployments

• Strong hands-on experience with AWS services such as S3, Glue, Redshift, Lambda, EMR, Athena, and RDS
• Proficiency in Python and SQL for data processing and analysis
• Experience in building and optimizing ETL/ELT pipelines
• Solid understanding of data warehousing and data lake architecture
• Experience with Apache Spark / Py Spark
• Knowledge of workflow orchestration tools (Airflow or similar)
• Familiarity with streaming frameworks (Kinesis/Kafka) is a plus
• Experience with data modeling and performance tuning
• Understanding of Dev Ops, CI/CD, and infrastructure as code (Terraform/Cloud Formation)
• Experience working in Agile/Scrum environments

• Experience with Snowflake on AWS
• Exposure to real-time data processing
• AWS certification (e.g., AWS Certified Data Analytics / Solutions Architect)

• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management
• Ability to work in a fast-paced, collaborative environment