AWS Team Lead (Redshift Modelling, Spark, Kinesis, Glue, EMR, Python, Angular JS, NodeJS, S3 )
Jupiter, FL 33478 **Based on the Client Requirement during pandemic they can may be but if client requests then they need to be available at client location.**
6 Months
Job Details:
Must Have Skills:
5+ years’ experience in data warehousing landscape with good knowledge of ETL and reporting.
5+ years of experience in AWS skills: AWS Redshift Modelling.
Lambda, AWS DMS, Spark, Python, kinesis, Glue, EMR, Angular JS Node JS, Kafka, REDIS, Cloud Formation templates, Document DB, ElastiCache, Rest APIs, Python scripting etc.
Experience in implementing AWS code/data pipelines for real time processing Good Knowledge of Oracle SQL Develop proof of concepts in AWS using enterprise methodology frameworks and technology evaluation principles and practices, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc Produces and maintains Solution architecture, systems integration, technical design documents and plans for the implementation.
Work experience in Agile Methodology and should be able to face the client and lead the team efficiently.
Nice to have:
Willingness to work in a collaborative environment and manage teams across locations Ability to lead large complex projects with limited direction.
Utility/energy industry domain experience is preferred.
Certifications in AWS
Detailed Job Description:
Basic:
Bachelor’s degree in computer science engineering, information systems, or related technology field or equivalent experience.
At least 8+ years of experience with ETL/Reporting, Data warehouse and AWS cloud services.
AWS Redshift Modelling.
Experience in utilities domain is preferred.
Minimum years of experience:
8-10 years
Certifications Needed: No
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
AWS skills Spark Kinesis Glue EMR Python Angular JS NodeJS S3 skillsets strong handson experience of minimum 2 years in AWS platform Should have indepth knowledge on the DWHData Lake architectures
Interview Process (Is face to face required?) No