AWS+Python (Data Engineer)

Role-

Desired Competencies (Technical/Behavioral Competency)

Must-Have**

Minimum 4 years of professional experience in data integration and management • 3+ years of hands on development experience in AWS Glue, Python, 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 particulary 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. • DevOps profiles wont suit this Role.

Good-to-Have

• Excellent written and oral communication skills; Ability to communicate effectively with technical and non-technical staff. • Experience working on multiple concurrent projects. • Excellent problem-solving skills.