Location: Bengaluru, Karnataka, India

Build your career in Data Engineering & AI Transformation while working in the worlds most innovative bank that values creativity and excellence.

You are a strategic thinker passionate about driving solutions within the Securities Services Data Modelling and Engineering team. You have found the right team.

As a Data Engineer within our AI Transformation Securities Services team, you will spend each day defining, refining, and delivering scalable data solutions that power business insights, OKR tracking, and AI enablement.

 

Job responsibilities

• Design, build, and optimize data pipelines and transformation workflows using Databricks, Python, and Spark
• Develop scalable and reusable datasets to support analytics, reporting, and AI use cases
• Collaborate with Data Architects and Business Analysts to create robust data models aligned with business needs
• Document data flows, transformation logic, and ETL processes clearly for transparency and reuse
• Implement data quality checks and validation frameworks to ensure accuracy and reliability
• Execute testing and monitoring processes to maintain data integrity across pipelines
• Track project progress and deliverables using tools such as Jira to ensure visibility and accountability
• Ensure datasets and pipelines are registered in required catalogues and comply with governance standards
• Support AI and analytics initiatives by providing clean, structured, and accessible data foundations

 

Required qualifications, capabilities and skills

• Demonstrate proven experience in developing data pipelines and ETL workflows
• Work hands-on with Databricks, Python, and Spark for data engineering tasks
• Apply strong understanding of data modelling concepts and data architecture
• Ensure high standards of data quality, validation, and governance practices
• Analyze complex datasets and translate them into structured data solutions
• Collaborate effectively with cross-functional teams including business and technology stakeholders
• Utilize tools like Jira or similar platforms for project tracking and delivery management
• Communicate effectively with strong verbal and written skills
• Adapt quickly in an agile and fast-paced environment
• Solve problems with strong analytical and debugging capabilities
• Hold a Bachelors degree in a relevant field

 

Preferred qualifications, capabilities and skills 

• Bring experience working in financial services or securities services domain
• Leverage experience supporting AI/ML or advanced analytics initiatives
• Work with data cataloguing and governance tools effectively
• Hold experience with cloud-based data platforms and distributed computing
• Possess an advanced degree in data engineering, analytics, or a related field

 

Analyze business needs, translate to process improvements, oversee low-code automation, and manage tool administration.