Software Engineer II

Job Description We are seeking a Data Engineer to support CACR 2.0 as the platform and enterprise data landscape continue to scale. This role will contribute to delivering trusted, compliant, and scalable data solutions while helping reduce risks arising from manual processes and inconsistent practices. The Data Engineer will work closely with senior engineers and architects to implement Data Virtualization, support Data Quality frameworks, and contribute to Metadata and Data Lineage capabilities that improve data accessibility, accuracy, and transparency. This role focuses on handson development, implementation, and operational support within established enterprise data standards and architectures. Process Overview Corporate Audit Risk Technology team is responsible for the management and delivery of Corporate Audit applications for the banks enterprise control functions. We also manage GT&Os business operations, business processes and controls, workforce management, Simplify & Improve (SIM) governance, and initiative and master planning processes. Responsibilities Design, develop, and maintain data pipelines, integrations, and data processing solutions within enterprise data platforms. Contribute to endtoend delivery of data engineering initiatives, including requirements understanding, development, testing, deployment, and production support. Assist in the implementation and adoption of Data Virtualization, Data Quality frameworks, Metadata Management, and Data Lineage capabilities. Develop scalable and reusable data integration patterns to support batch and near realtime data processing use cases. Support modernization of legacy data processes by reducing manual interventions and improving automation and monitoring. Follow and help enforce enterprise data standards, best practices, and governance guidelines to ensure data quality, security, and compliance. Collaborate with architects, platform teams, governance, security, and business stakeholders to deliver aligned data solutions. Troubleshoot and support performance, reliability, and scalability issues in production data platforms. Participate in technical discussions, design reviews, and continuous improvement initiatives across the data engineering team. Requirements Education Any Graduation / Post Graduation Experience Range 6 to 8 years Foundational skills Solid understanding of data engineering fundamentals, including data ingestion, transformation, integration, orchestration, and data lifecycle management. Strong proficiency in SQL and good programming skills in Python for building and maintaining data pipelines. Handson experience with data integration and ETL/ELT tools such as Informatica, supporting batch and near realtime processing. Working knowledge of data virtualization concepts, with exposure to platforms such as Starburst (Trino/Presto) preferred. Experience with relational databases such as Oracle, and familiarity with data warehouses and data lake architectures. Understanding of data modeling concepts, including conceptual, logical, and physical models (dimensional and normalized). Exposure to distributed data systems, APIs, and messaging or eventdriven integration patterns. Basic to intermediate understanding of Data Quality, Metadata, and Data Lineage principles. Familiarity with at least one cloud platform (Azure, AWS, or GCP) and cloudbased data engineering practices. Working knowledge of DevOps practices, CI/CD pipelines, version control systems, and automation for data solutions. Awareness of data governance, security, privacy, and compliance requirements in enterprise environments. Strong collaboration and communication skills, with the ability to work effectively in crossfunctional teams. Desired skills Exposure to cloudnative data services (e.g. ADLS, S3). Familiarity with CDC patterns, and hybrid (onprem + cloud) data integrations. Knowledge of streaming platforms such as Kafka for near realtime data ingestion and processing. Experience with data observability, monitoring, and alerting tools for data pipelines. Understanding of master data management (MDM) and reference data concepts. Work Timings 11:30 AM to 8:30 PM IST Job Location Gurugram / GIFT City Job Description We are seeking a Data Engineer to support CACR 2.0 as the platform and enterprise data landscape continue to scale. This role will contribute to delivering trusted, compliant, and scalable data solutions while helping reduce risks arising from manual processes and inconsistent practices. The Data Engineer will work closely with senior engineers and architects to implement Data Virtualization, support Data Quality frameworks, and contribute to Metadata and Data Lineage capabilities that improve data accessibility, accuracy, and transparency. This role focuses on handson development, implementation, and operational support within established enterprise data standards and architectures. Process Overview Corporate Audit Risk