5–8 yrsBengaluruOn-siteDirect career pageEst. 25–40 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, build, and maintenance of scalable data pipelines (batch and real-time) to support AI/ML and security use cases within the Group Security Team.
- Set up and own the Group Security Data Platform integrating security telemetry data and other data assets to enable analytics and detection capabilities.
- Develop and implement automation frameworks and DevOps practices including CI/CD and infrastructure-as-code for data engineering solutions in AWS environment.
Minimum Requirements
- 5-8 years experience as a Data Engineer in data-intensive environments.
- Proficiency in AWS cloud services including EC2, S3, Lambda, Athena, Kinesis, Kafka, Redshift, Snowflake, Glue, EMR, DynamoDB, IAM, SecretManager, Step functions, SQS, SNS, Cloud Watch.
- Strong Python skills with experience in complex framework development; mandatory experience with PySpark/Spark and performance optimization.
- Bachelor's or Master's degree in Engineering (Computer Science, IT or relevant field).
Ideal Candidate Profile
- Experienced working at medium to complex engineering initiatives with ownership over technical strategy and roadmaps.
- Familiar with cloud-based DevSecOps, automation, and security best practices such as encryption (SSL/TLS, data at rest/in transit).
- Skilled in integrating data solutions with enterprise security platforms (e.g., ServiceNow SecOps) and collaborating across data science and engineering teams.