Senior Data Engineer Aws Data Lakehouse Specialist

## About the Role We are looking for an experienced Senior Data Engineer with strong expertise in building and managing modern AWS-based Data Lakehouse architectures. The ideal candidate will have hands-on experience working with large-scale data pipelines, ETL frameworks, and AWS-native data engineering services. You will play a key role in designing, developing, and optimizing scalable data solutions that support analytics, reporting, and business intelligence use cases. ## Key Responsibilities - Design and implement robust Data Lakehouse solutions on AWS - Develop scalable ETL pipelines using AWS Glue and PySpark - Build and maintain efficient data ingestion and transformation workflows - Work extensively with AWS S3 for data storage and lakehouse structuring - Perform data preparation and cleansing using AWS Glue DataBrew - Implement and manage data quality checks using AWS Data Quality tools - Optimize performance of data pipelines for high-volume processing - Collaborate with cross-functional teams including analysts, architects, and stakeholders - Ensure best practices in data governance, security, and compliance ## Required Skills & Qualifications - 7+ years of experience in Data Engineering - Strong expertise in AWS Data Lakehouse architecture - Proficiency in Python and PySpark - Hands-on experience with: - AWS S3 - AWS Glue ETL - AWS Glue DataBrew - AWS Data Quality Frameworks - Experience in building large-scale batch and/or streaming pipelines - Strong understanding of data modeling, warehousing, and lakehouse concepts - Excellent problem-solving and communication skills ## Preferred Qualifications - Experience working in Agile development environments - Exposure to Delta Lake, Apache Iceberg, or similar lakehouse technologies - AWS Certification (Data Analytics or Solutions Architect) is a plus