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High competition due to mid-level popular title, metro Bangalore location, strong brand, and broad AWS/PySpark skillset.
Medium: core data engineering skills transfer across industries, but security-telemetry focus adds domain specificity.
High: explicit 5-8 years plus mandatory AWS, PySpark, Python, Terraform and security/DevOps skills.
Lead design and build of scalable data pipelines (batch and real-time) and data platform for Group Security Team to support AI/ML and security use cases.
Own end-to-end data engineering lifecycle including requirement gathering, data modeling, development, deployment, and support within a DevSecOps framework.
Develop and implement automation and engineering frameworks primarily using AWS services and Python, ensuring data quality, reliability, and security compliance.
5-8 years of professional data engineering experience in a data-intensive environment.
Proficiency with AWS cloud services including EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, IAM, and related tools.
Strong Python skills for framework development and experience with big data processing using PySpark/Spark.
Bachelor's or Master's degree in Engineering specializing in Computer Science, Information Technology or relevant field.
Experienced in complex AWS-based data engineering with focus on automation, DevSecOps, and security.
Capable of independently leading technical strategy and medium to complex engineering initiatives in data platforms.
Proficient in collaborating with data scientists and software engineers to productionize AI models and integrate data solutions with enterprise security tools.