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: Data Platform Engineer

Industry Type: IT Services & Consulting

Department: Engineering - Software & QA

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

Senior Software Developer (Python/Pyspark)