About the Role We are looking for a highly skilled AWS Data Engineer to design, build, and optimize scalable data solutions on AWS cloud. The ideal candidate should have strong expertise in data engineering, ETL/ELT development, cloud-native architectures, and modern data warehousing technologies. Key Responsibilities Design, develop, and maintain scalable data pipelines on AWS. Build and optimize ETL/ELT processes for structured and unstructured data. Develop data ingestion frameworks from multiple source systems. Implement and manage cloud-based data lakes and data warehouses. Ensure data quality, governance, security, and compliance standards. Optimize data processing performance and cost efficiency within AWS. Collaborate with Data Analysts, Data Scientists, and Business stakeholders to deliver data solutions. Troubleshoot production issues and provide timely resolutions. Implement CI/CD practices for data engineering workflows. Create technical documentation and best practices for data architecture.



Required Skills AWS Services AWS Glue Amazon S3 Amazon Redshift AWS Lambda AWS EMRAWS Athena AWS Step Functions AWS Cloud Watch AWS IAMData Engineering Strong SQL and Python programming Data Modeling (Star Schema, Snowflake Schema)ETL/ELT Pipeline Development Data Warehousing Concepts Data Lake Architecture Big Data Technologies Apache Spark (Py Spark)Hadoop Ecosystem (Positive to Have)Kafka/Kinesis (Preferred)Dev Ops & Automation Git/Git Hub/Git Lab CI/CD Pipelines Terraform or Cloud Formation Docker (Preferred)Preferred Qualifications Experience with Snowflake, Databricks, or Microsoft Fabric is a plus. Knowledge of Data Governance and Data Quality frameworks. Experience working in Agile/Scrum environments. AWS Certification (AWS Certified Data Engineer, Solutions Architect, or Developer Associate) preferred.

📌 Data Engineer (India)
🏢 Anonymous
📍 India