IN_Manager_Data Analyst_Data and Analytics_Advisory_Bangalore

• About the role

As the Staff Data Platform Engineer in the Cyber Data Platform team, you will be key in designing, developing, and deploying a scalable data platform that empowers users to create advanced analytics, machine learning, and GenAI solutions to enhance our security defences. You will lead architectural decisions, guide technical direction, and mentor the engineering team to deliver high quality data services.

Responsibilities:

Technical Leadership: Take in charge of the design, development and delivery of cyber data platform solutions and provide technical guidance and mentorship across all teams of cyber data platform.

 Data Architecture: Design, build and management of realtime, near realtime and batch data architectures that support threat detection, incident response and reporting through advanced analytics, machine learning and GenAI capabilities.

Coding: Contribute to raising the quality bar of the team's codebase by producing high-quality code, conducting thorough peer reviews, and proactively providing constructive feedback to other team members on their code

 Data Security and Compliance: Implement and enforce data security standard methodologies, ensuring the protection of sensitive information and compliance with relevant regulations.

Automation and DevOps: Implement various automations and DevOps practices to streamline the deployment, configuration, and management of data platform components.

You will need

Proven experience in leading the teams to deliver resilient systems and providing technical guidance for optimal product solutions.

Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery, with the goal of delivering a self-service data platform for users.

Proficient in Python and SQL, with a solid grasp of architectural patterns, coding standards, code reviews, version control, and CI/CD practices.

Expertise in ETL and ELT frameworks for large scale realtime and batch data processing, with hands-on experience in Kafka, Flink, Airflow and dbt as well as containerisation technologies like Docker and Kubernetes.

Ability to provide clear input, guide, opportunities to help engineers develop and advance.

Knowledge of cybersecurity principles and practices.

Mandatory Skill sets:

Databricks on Azure or GCP BigQuery,Python, Devops, CICD

Preferred skill sets:

Gen AI

Years of Experience Required:

6-9 Yrs

Education Qualification

B.E,B.Tech,M.E,MCA,M.Tech