Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Amazon Kinesis Data Streams
AWS Lambda
AWS Glue
Job Details
Skill Sets and experience includes:
- Extensive experience in developing/ building AWS Data Lake formation, contributing extensively to design, development and writing code.
- Experience in modernizing legacy applications, which should include refactoring/migrating in-house legacy applications to the cloud environment.
- Proficient in utilizing AWS services and related components towards building enterprise level Data Lakes.
- Must have experience in Data Ingestion & Storage, Data Processing & Transformation and working with AWS Machine Language using appropriate AWS services.
- Experience in customizing AWS ETL logic using Python code.
- Knowledgeable and experience in security and data governance covering areas such as fine-grained permissions, managing user and service permissions, data encryption, auditing, and compliance.
- Experience in software development with hands-on skills in Python scripting, and any prior experience in Object oriented languages is a plus.
- Experience working with any transactional or RDMS databases
- Experience with DevOps, DevSecOps, Iac, automation, building CI/CD pipelines, monitoring, and logging.
- Knowledge / experience using any ETL tools, experience with data analytics using PowerBI or AWS QuickSight etc. is plus.
- Must have experience/familiar with Agile/Scrum Framework environments.
Job responsibilities include (but not limited to):
- Collaborating with stakeholders to gather requirements and propose effective modernization strategies
- Providing technical guidance and troubleshooting support throughout project delivery
- Acting as a trusted advisor to the technical team on industry trends and emerging technologies
- Develop, test, debug and deliver within timeline using best tools and best practices available.
- Ability to identify, analyze, and resolve technical issues and challenges.
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Identifies architectural risks and plans to mitigate risks
- Ensures adherence to standards and best practices
- Influences and communicates effectively with non-technical audiences including senior ITD and business stakeholders.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.