Essential Skills Strong hands‑on experience with Python (3.x) and Py Spark for large‑scale data processing Minimum 3+ years working with AWS services such as Athena, Glue, Lambda, S3, and ECS Experience with No SQL (Dynamo DB) and relational databases (Oracle/Postgre SQL) , including advanced Oracle SQL Proven experience with Oracle Cloud Infrastructure (OCI) services Expertise in data formats and schema design including Parquet, AVRO, JSON, XML and CSV Solid experience building ETL pipelines using AWS Glue or similar tools Experience with Docker and containerisation (Kubernetes/Open Shift advantageous) Strong scripting skills (Bash, Power Shell ) and familiarity with Linux/Unix environments Hands‑on experience with data quality frameworks and validation techniques Familiarity with Dev Ops practices , including Terraform/Cloud Formation, CI/CD pipelines, Git, and Jenkins Role & Responsibilities Design, build, and maintain scalable data pipelines and ETL workflows Develop Python and Py ...