Senior Data Engineer

Commonwealth Bank; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

CommBank in Bangalore is seeking a Senior Data Engineer to build and scale the Group Security Data Platform, ingesting telemetry and data assets to enable analytics and AI use cases. You will develop scalable pipelines, collaborate with data scientists, and drive DevSecOps practices across the data stack.

Ideal candidates have 8–12 years in data engineering, strong Python and AWS skills, and experience with Spark, SQL, and data modelling.

Qualifications

• 8–12 years of experience in data engineering in a data-intensive environment.
• Strong analytical and reasoning skills in the data domain.
• Proficiency in AWS cloud services including EC2, S3, Lambda, Athena, Kinesis and Redshift.
• Excellent Python-based framework development and Spark experience.
• Experience with distributed data processing and large-scale data platforms.

Responsibilities

• Lead design and development of scalable data pipelines (batch and real-time).
• Build data models and data products to enable analytics and security use cases.
• Ensure data quality, reliability, and observability across pipelines.
• Collaborate with data scientists and engineers to productionise AI models.
• Drive DevOps practices including CI/CD and infrastructure-as-code.

Skills

Python

AWS cloud services

SQL

Spark

Data modelling

Automation

DevSecOps

Communication

Education

Bachelor's or Master's in Engineering

Tools

Terraform

Jenkins

Docker

Kubernetes

Snowflake

DBT

Kafka

Glue

Job description

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title: Senior Data Engineer

Location: Bangalore

Business & Team: Technology Team is responsible for the world leading application of technology and operations across every aspect of CommBank, from innovative product platforms for our customers to essential tools within our business. We also use technology to drive efficient and timely processing, an essential component of great customer service.

Impact & contribution:

To ensure the Group achieves a sustainable competitive advantage through data engineering, you will play a key role in supporting and executing the Group's data strategy. We are looking for an experienced Data Engineer to join our Group Security Team, which is part of the wider Cyber Security Engineering practice. In this role, you will be responsible for setting up the Group Security Data Platform to ingest data from various organizations’ security telemetry data, along with additional data assets and data products. This platform will provide

Roles & Responsibilities

• Possesses hands-on technical experience working in AWS. The individual should have knowledge about AWS services like EC2, S3, Lambda, Athena, Kinesis, Redshift, Glue, EMR, DynamoDB, IAM, SecretManager, KMS, Step functions, SQS, SNS, Cloud Watch.
• The individual should possess a robust set of technical and soft skills and be an excellent AWS Data Engineer with a focus on complex Automation and Engineering Framework development.
• Being well‑versed in Python is mandatory, and experience in developing complex frameworks using Python is required.
• Passionate about Cloud/DevSecOps/Automation and possess a keen interest in solving complex problems systematically.
• Drive the development and implementation of scalable data solutions and data pipelines using various AWS services.
• Possess the ability to work independently and collaborate closely with team members and technology leads.
• Exhibit a proactive approach, constantly seeking innovative solutions to complex technical challenges.
• Can take responsibility for nominated technical assets related to areas of expertise, including roadmaps and technical direction.
• Can own and develop technical strategy, overseeing medium to complex engineering initiatives.
• Design, build, and maintain scalable data pipelines (batch and real‑time) to support AI/ML and security use cases
• Develop and manage data models and data products that enable analytics and detection capabilities
• Ensure data quality, reliability, and observability across pipelines and platforms
• Collaborate closely with data scientists and software engineers to productionise AI models
• Integrate data solutions into enterprise platforms (e.g. ServiceNow SecOps and other security tooling)
• Contribute to DevOps practices including CI/CD, automation, and infrastructure-as-code

Essential Skills

• About 8-12 years of experience as a Data Engineering professional in a data-intensive environment.
• The individual should have strong analytical and reasoning skills in the relevant area.
• Proficiency in AWS cloud services, specifically EC2, S3, Lambda, Athena, Kinesis, Kafka, Redshift, Snowflake, DBT, Glue, EMR, DynamoDB, IAM, SecretManager, Step functions, SQS, SNS, Cloud Watch.
• Excellent skills in Python-based framework development are mandatory.
• Experience with distributed data processing and large-scale data platforms
• Proficiency in SQL for efficient querying, managing databases, handling complex queries, and optimizing query performance.
• Experience with Terraform, Jenkins, Terraform is essential as part of DevOps. Additionally, Docker and Kubernetes are also considered.
• Strong understanding of streaming data processing concepts, including event-driven architectures.
• Expertise in data pipeline development using various data formats/types.
• Mandatory knowledge and experience in big data processing using PySpark/Spark and performance optimizations of applications
• Hands on with various Gen AI tools like Claude, GH Copilot, VS Code Co-pilot/Claude, Cline, Roo, ChatGpt
• Own and lead E2E Data engineering life cycle right from Requirement gathering, Data Modelling & architect design, develop & Build, test, Deployment/DevOPS Practices and support as part of DevSecOPS process.
• Must demonstrate skills and mindset to implement encryption methodologies like SSL/TLS and data encryption at rest and in transit and other data security best practices

Education Qualification : A Bachelor's or Master's degree in Engineering, specializing in Computer Science, Information Technology or relevant qualifications.

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