Must Have Technical/Functional Skills
Primary Skill: Python, SQL, Data Ingestion and ETL, API development and Integration, Mongo DB, Oracle or
Relational Databases, Elastic or Solr Search, Vector Database, Linux/Bash, Openshift containers, Git, Jenkins, CI/CD and Data Modelling
Secondary: Fast API, Data Quality and Validation, Performance Tuning
Experience: 8+ yrs
Roles & Responsibilities
Bachelor's or master's degree in computer science or related field.
Required Hard and Soft Skills / Experience
Design and build large-scale data pipelines using Python.
Build and support data ingestion, processing, indexing and retrieval pipelines for structured and unstructured data
Lead the architecture of cloud-native data lakes and warehouses.
Optimize big data processing jobs for speed and cost.
Mentor junior data engineers and lead code reviews.
Set up data governance, data quality, and monitoring systems.
Partner with data scientists to deploy machine learning models.