Senior Security Data Engineer

About Us:

MUFG Bank, Ltd. is Japans premier bank, with a global network spanning in more than 40 markets. Outside of Japan, the bank offers an extensive scope of commercial and investment banking products and services to businesses, governments, and individuals worldwide. MUFG Banks parent, Mitsubishi UFJ Financial Group, Inc. (MUFG) is one of the worlds leading financial groups.

Headquartered in Tokyo and with over 360 years of history, the Group has about 120,000 employees and offers services including commercial banking, trust banking, securities, credit cards, consumer finance, asset management, and leasing.

The Group aims to be the worlds most trusted financial group through close collaboration among our operating companies and flexibly respond to all the financial needs of our customers, serving society, and fostering shared and sustainable growth for a better world. MUFGs shares trade on the Tokyo, Nagoya, and New York stock exchanges.

MUFG Global Service Private Limited:

Established in 2020, MUFG Global Service Private Limited (MGS) is 100% subsidiary of MUFG having offices in Bengaluru and Mumbai. MGS India has been set up as a Global Capability Centre / Centre of Excellence to provide support services across various functions such as IT, KYC/ AML, Credit, Operations etc. to MUFG Bank offices globally. MGS India has plans to significantly ramp-up its growth over the next 18-24 months while servicing MUFGs global network across Americas, EMEA and Asia Pacific.

About the Role:

Position Title: Senior Security Data Engineer

Corporate Title: Assistant Vice President

Location: BCIT Campus, Bengaluru

Shift Timing: 1.30 - 10.30 PM IST/ 2.30 - 11.30 P.M IST

Position Details:

MUFG is seeking a highly motivated Sr. Security Data Engineer as part of the Engineering team to design and implement the cutting-edge technology to improve the security posture. This is a senior role that drives engineering standards and implementation across the global deployment.

Responsibilities:

• Architect, build and maintain high-volume, high-fidelity security data management system supporting Pipeline (ETL, etc.) SIEM, SOAR, UEBA and detection engineering use cases.
• Lead the ingestion, normalization, enrichment, and correlation of raw security telemetry, including logs, events, metrics, alerts, config, scanning and other data types.
• Define and enforce data standards, schemas, and normalization frameworks across security data sources.
• Partner with Security Operations, Threat detection, GRC and other engineering teams to translate security requirements into scalable data solutions.
• Serve as a technical authority and mentor, influencing data engineering, security analytics and platform strategy.
• Drive continuous improvement in data reliability, performance, and cost efficiency.
• Manage Data Governance with various reporting and quality checks.
• Research and look for opportunities to adopt the best practices and industry standards
• Identify opportunities to enhance the current baseline processes and configuration
• Produce engineering, integration and process related documentation.
• Manage vendor relationships to drive roadmap, solution design, implementation and troubleshooting.
• Able to conduct the POC of new features to develop new solutions.

Qualifications:

• At least 10+ years of experience in data engineering with significant focus on security, analytics, detection and platform engineering.
• 8+ years of hands-on experience with various databases, relational (SQL, PostgreSQL, etc.), no-SQL (MongoDB, DynamoDB, etc.)

At least 2+ years of experience with data warehouses and data lakes:

• Snowflake, Databricks, BigQuery, Redshift, Azure Synapse.
• Familiarity with SIEM products such as Splunk, Cribl, Elastic, Datadog, AWS CloudTrail, cloud watch, Azure event hub, AWS S3, etc.
• Familiarity with streaming platforms like Cribl, Kafka, Kinesis, etc.
• Solid knowledge of ETL/ELT pipelines and data ingestion processes.
• Strong programming skills in Python, SQL and/or Java and JavaScript.
• Experience with data modeling, data normalization and schema design.
• Ability to understand, clean, and transform raw data into structure, usable formats.
• Experience working with large-scale datasets (batch and streaming).
• Experience in analyzing raw data and performing data normalization.
• Implementing data validation, quality checks and error handling.
• Understanding of data governance and metadata management.
• Strong problem-solving and analytical skills.

Must have working knowledge of Artificial Intelligence and Machine Learning technologies:

• Anthropic, ChatGPT, Gemini, Co-Pilot, etc.
• Experience with real-time analytics.
• Familiarity with BI tools (Power BI, Tableau).
• Knowledge of data privacy, compliance and security best practices.
• Familiar with industry security regulations and frameworks (MITRE Attack Framework, CRI, etc.).
• Experience with at least one major cloud provider.
• AWS, Azure or Google.

Education:

• Bachelor's degree in Cybersecurity, Computer Science, Information Technology, or related field, or relevant industry certifications. Equivalent work experience is equally preferable.

Preferred Certifications: Are these really preferred Its ok if they are just wanted to ask if we are on track with the correct Certs:

• Certified Information Systems Security Professional (CISSP).
• Certified Information Systems Manager (CISM).
• Certified Information System Auditor (CISA).
• Certified Ethical Hacker (CEH).

Equal Opportunity Employer:
The MUFG Group is committed to providing equal employment opportunities to all applicants and employees and does not discriminate on the basis of race, colour, national origin, physical appearance, religion, gender expression, gender identity, sex, age, ancestry, marital status, disability, medical condition, sexual orientation, genetic information, or any other protected status of an individual or that individual's associates or relatives, or any other classification protected by the applicable laws.