- Strong hands-on experience in Python
- Having good experience on Spark/Spark Structure Streaming.
- Experience of working on MSK (Kafka) Kinesis.
- Ability to design, build and unit test applications on Spark framework on Python.
- Exposure to AWS cloud services such as Glue/EMR, RDS, SNS, SQS, Lambda, Redshift etc.
- Good experience of writing SQL queries
- Strong technical development experience in effectively writing code, code reviews, and best practices
- Ability to solve complex data-driven scenarios and triage towards defects and production issues
- Ability to learn-unlearn-relearn concepts with an open and analytical mindset
- Work closely with business and product management teams to develop and implement analytics solutions.
- Collaborate with engineers & architects to implement and deploy scalable solutions.
- Actively drive a culture of knowledge-building and sharing within the team
- Able to quickly adapt and learn
- Able to jump into an ambiguous situation and take the lead on resolution
Good To Have:
- Experience of working on MSK (Kafka), Amazon Elastic Kubernetes Service and Docker
- Exposure on GitHub Actions, Argo CD, Argo Workflows
- Experience of working on Databricks
Role:
Industry Type:
Department:
Employment Type: Full Time, Permanent
Role Category: Software Development
Education
UG: B.Tech/B.E. in Any Specialization
PG: MCA in Computers, M.Tech in Any Specialization, M.Com in Commerce
Skills Required
Github, Unit Testing, Product Management, Cloud Services, Analytical, Sql Queries, Spark, Deployment, Python, Analytics