Lead, Data Engineering

- Mid Level

Bangalore, IN

Credit Intermediation and Related Activities

About the position

The primary responsibility of this role is to deliver best-in-class data components and applications leveraging Java microservices, API architecture, Oracle, PostGreS, Lit UI frameworks and various data engineering techniques. The successful candidate will be equally comfortable with code development, test automation, pushing production grade application code, solving problems with the team in design sessions, knitting together simple technical architectures, and communicating decisions effectively with senior stakeholders. Above all, we seek a candidate with the right attitude: opiniated and optimistic yet pragmatic and hungry to collaborate. Regardless of depth of experience, we need someone who is ready to listen and learn.

Responsibilities

• Re-engineer legacy applications and build state of the art platforms
• Work with stakeholders throughout the organization to identify opportunities where data can be used to drive business solutions
• Develop, add to and enhance testing frameworks
• Develop processes and tools to monitor and analyze model performance
• End to End build and test production grade features
• Lead group discussions on design of best practices
• Mentor and develop those around them
• Share knowledge with wider community
• Discover new opportunities where analytical techniques can be leveraged for solving business problems
• Communicate complex concepts in simple terms
• Contribute to and ensure adherence to overall platform architecture and direction
• Implement Continuous Integration (CI) and Continuous Deployment (CD) pipelines and other DevOps practices within Applications, Data interfaces & Pipelines and AI/ML platforms
• Display exemplary conduct and live by the Group's Values and Code of Conduct
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct
• Identify, escalate, mitigate and resolve risk, conduct and compliance matters

Requirements

• Bachelor's in computer science, mathematics, engineering or another quantitative field
• n+ years of experience in building data-driven applications
• Expert SQL and data analysis
• Extensive experience with relational and NO-SQL databases
• Proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark, Hadoop
• Strong knowledge and experience in developing applications using Java 8, J2EE, Spring, Spring Boot, Spring Batch, Spring cloud and Hibernate
• Strong knowledge and hands-on experience on web applications, Restful web services and Microservices architecture
• Good understanding of design patterns and its usages to implement reusable components of code
• Good knowledge and hands-on experiences with databases like Postgres, Oracle
• Good knowledge and experience on Junit and Mockito
• Experience in UI technologies and frameworks - ReactJS preferred
• Experience in docker technology and cloud-based applications (OpenShift, AWS, Azure etc.)
• Strong analytical and debugging skills
• Experience with Agile/Scrum development methodologies
• Comfortable using version control and enterprise task management tools

Nice-to-haves

• Programming skills in Python
• Training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Experience in data integration, profiling, validation and cleansing
• Experience deploying TensorFlow and PyTorch into production

Benefits

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum
• Flexible working options based around home and office locations, with flexible working patterns
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies