• Develop and deliver end-to-end data solutions as per the customer requirements.
• Drive customer satisfaction by delivering systems to an agreed specification.
• Routine reporting on project progress and issues to internal stakeholders.
• Fulfil ongoing and sustaining engineering support where needed.

Requisite Qualifications:

• Bachelors / Master s / PhD degree in a relevant field such as Engineering, Statistics, Computer Science, Data analytics or Data Sciences.
• Experience in setting up ELK Stack (Elasticsearch, Logstash, Kibana stack) to process data from multiple data sources.
• Experience with SQL and optimization of queries.
• Experience working in distributed computing environments like Spark (PySpark).

Preferred Qualifications:

• Ability to efficiently query data from structured and unstructured data source.
• High proficiency in python as the primary programming language.
• Experience working in snowflake data warehouse.
• Experience in MLOps Tools to build MLOps pipelines to support development, experimentation, continuous integration, continuous delivery, verification/validation, and monitoring of AI/ML models.