AWS Data Engineer
1 day ago
AWS Glue, Lambda, Athena, Pyspark, S3, IAM, Step functions & Cloud Formation
Desired Experience Range**
5 + years
Location of Requirement
Chennai/Pune, preferable Chennai
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
(Ideally should not be more than 3-5)
Minimum 4 years of professional experience in data integration and management
3+ 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 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.
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