solutions required to fulfil business and technology requirements
- Troubleshoots technical issues by breaking down problems and ensuring
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+
years applied experience.
- Hands-on practical experience in system design, application development,
testing, and operational stability.
- Ability to work in collaborative teams to achieve organizational goals.
- Proven technical proficiency in Big data stack – HDFS, Spark, Impala, etc.
with expertise in AWS including S3, EMR, SQS, etc.
- Experience in some Industry Standard Reporting Tool like
Cognos/Sigma/Thoughtspot etc. with knowledge in Advanced SQL and data management.
- Hands-on experience using enterprise-authorized AI-assisted software
development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data
sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Strong understanding of data, data modeling and database methodologies and
architecture disciplines.
- Ability to identify opportunities to automate workflows, implementing based
on specific use cases with solid understanding of agile methodologies such as CI/CD, application resiliency, and security.
- Exceptional interpersonal, relationship and communication skills with
proficiency in all aspects of the Software Development Life Cycle.