AWS Specialist

Education and Work Experience Requirements:

5 to 9 year experience on AWS Data Engineering

Develop and Support activities of development in Projects and Automation solutions for customers.

Development using our homegrown platform

Designing, developing/coding, and debugging

Unit testing, developer testing for developed code/solutions

Understanding requirements for projects and documentation of the work

Analyzing and fixing the bugs (defects) reported and updating the status in bug tracking tool used

If required, responding to customer and/or client requests or events as they occur

Support existing projects for the continuous improvements.

Strong knowledge of AWS services such as S3, Glue, EMR, Redshift, and Lambda

Mandatory Skills:

AWS Data Services, ETL Processes,Data Quality and Governance,Collaboration,Big Data

Technologies

Strong knowledge of AWS services such as S3, Glue, EMR, Redshift, and Lambda.

Proficiency in SQL and database design.

Experience with big data technologies like Hadoop and Spark.

Data Modeling, Data Security and Compliance, Automation

Excellent problem-solving and troubleshooting skills. Strong communication and teamwork skills.

Additional Information: Qualifications - BE, MS, M.Tech or MCA.

Certifications: AWS Certified Data Analytics or AWS Certified Data Specialty certification Good to have skills : Good ability to anticipate issues and formulate remedial actions. Sound interpersonal and team working skills. Sound Knowledge of unit testing methodologies and frameworks