Data Engineer

• Experience in ETL / data processing / data warehousing / data engineering / RDBMS / PySpark.
• Experience in Data Processing and ETL in On-prem and Cloud based systems.
• Preferred AWS cloud development, with a strong understanding of AWS services (e.g., EC2, S3, Lambda, RDS, DynamoDB, etc.). Proficient in at least one Python programming language.
• Hands-on experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform etc.
• Experience with CI/CD tools and pipelines (Jenkins, GitLab CI, etc.) for automation and deployment.
• Good understanding of cloud security best practices and experience with IAM, VPC, security groups, and encryption mechanisms.
• Good knowledge of monitoring, logging, and troubleshooting tools (e.g. CloudWatch, CloudTrail).
• Experience with version control systems (Git, GitHub, Bitbucket).
• Strong communication skills and ability to work in a collaborative team environment.
• The role works with business stakeholders to translate needs into technical solutions and align to solution architecture.
• The role should be able to scale up and align to the BUK CDAO tech tooling strategy e.g. EDP capabilities, Databricks etc.
• It incorporates security principles into designs, deliverables.
• Ensures compliance with standards (CSO, CDO, CDA etc.), executes and tests end-to-end Data Pipeline.
• Meets non-functional requirements like scalability, security, and resilience.
• Data solutions must follow 'data product principles' and the CDA team's best practices for data modelling, compliance, and security.

Some other highly valued skills may include:

• Experience with Cloud based services and integrations, Exposure to Databricks, Agile development practices and Familiarity with databases (SQL/NoSQL), Release management

You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Bengaluru.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. 

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other are