Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, metro Bangalore, popular Data Engineer title, and broad AWS/PySpark skill demands.
Security-focused banking data engineering reduces cross-industry transferability moderately.
Explicit 8–12 years requirement plus mandatory AWS, Python, PySpark, Terraform and security-data experience.
Lead the setup and management of the Group Security Data Platform for ingesting and processing security telemetry data and other data assets.
Design, build, and maintain scalable data pipelines (batch and real-time) to support AI/ML models and security use cases integrating with enterprise platforms like ServiceNow SecOps.
Own end-to-end data engineering lifecycle including requirement gathering, data modelling, development, deployment, and DevSecOps processes with responsibility for technical strategy and roadmaps.
8-12 years of experience as a Data Engineer in data-intensive environments.
Proficiency in AWS services including EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, IAM, Step functions, among others.
Strong Python skills with experience in developing complex frameworks and mandatory knowledge of PySpark/Spark and associated performance optimizations.
Bachelor's or Master's degree in Engineering, Computer Science, Information Technology or related field.
Experienced in leading medium to complex engineering initiatives with strategic ownership of technical assets and roadmaps.
Strong expertise in cloud-based data engineering with hands-on skills in DevOps tools like Terraform, Jenkins, Docker, Kubernetes integrated into data pipeline automation.
Capable of working independently and collaboratively within cyber security and AI/ML focused teams to innovate with automation, data security best practices including encryption methods, and scalable data solutions.