Aws Data Engineer

Role & responsibilities

• Minimum 6 years of professional experience in data integration and management
• 4+ years of hands on development experience in AWS Glue, Lambda functions, AWS Athena, Redshift, Pyspark is a Must
• Hands on working experience in AWS GLUE ETL tool and having good knowledge on any of the ETL tools(Informatica cloud,Talend etc.)
• Must have working experience with SQL, and databases (e.g.: Postgres, Redshift)implementing Data Models.
• Expertise with Python Language and Apache Spark. Have working experience in projects involving these.
• Strong hands on exposure to AWS Analytics services particularly Lambda, Step functions, Athena, Glue, Data-Pipelines
• Understanding and technical knowledge on AWS service like EC2, S3. Should have used these technologies in previously executed projects.
• Strong AWS development experience for data ETL/pipeline/integration/automation work. Should have a deep understanding of BI & Analytics Solution development lifecycle.
• Full Flexed in AWS cloud development & Automation for Analytics. Should have a deep understanding of AWS Services (Redshift, Glue, Lambda, Athena, S3, EC2), Visual Studio, SQL Server, SSIS, Matillion; Python
• Strong experience on real-time scalable workflow implementation.