Understand business requirements from the PBI assigned and get clarifications
Break work in simpler code
Do code development using various AWS services like AWS cloud, EC2, IAM, KMS keys, AWS Lambda, Batch, Terraform/CFT, Event bridge, Managed Kafka, Kinesis, Glue, PySpark
Ensure the software systems are scalable, reliable, and efficient.
Protect data and applications by implementing robust security measures.
Unit test case creation and testing.
Promote code to higher environment using CI/CD release
QA and UAT testing support. Fix bugs
Production deployment and post deployment support
Production issue support, troubleshooting and optimizing for performance and efficiency
Person specification:
Formal Education & Certification (desirable)
Relevant education - BE/B.tech/MCA
3-8 years of AWS development experience.
Must have experience on AWS cloud, EC2, IAM, KMS keys, AWS Lambda, Batch, Terraform/CFT, Event bridge, Managed Kafka, Kinesis, Glue, PySpark.
Understanding of data modelling concepts.
Knowledge of Python and other programming languages.
Knowledge of different SQL/NOSQL data storage techniques.
SQL competence (query performance tuning, index management etc) and a grasp of database structure are required.
Worked in Agile methodology and its ceremonies.
Passionate about sophisticated data structures and problem solutions.
Capability to analyze and troubleshoot complicated data sets.
Design automate and support sophisticated data extraction, transformation and loading applications.
Analytical abilities
Good in oral and written communication
Experience with data warehousing and business intelligence (BI)
Knowledge of industries technology trends
Job Classification
Industry: IT Services & Consulting Functional Area / Department: Engineering - Software & QA Role Category: DevOps Role: DevOps Engineer Employement Type: Full time