Software Engineer II A - GBS IND

Bank of America; Gandhinagar; On-site; INR 1,000,000 - 1,800,000; Full time

Job summary

Bank of America is seeking a Data Engineer in India to design and maintain data pipelines within their enterprise data platforms. The position requires solid data engineering fundamentals and strong skills in SQL and Python.

Ideal candidates will have 6 to 8 years of experience and be familiar with ETL tools, data virtualization, and cloud platforms. The role involves collaboration with various teams to ensure data quality and compliance.

Qualifications

• 6 to 8 years of experience in data engineering.
• Solid understanding of data ingestion and transformation.
• Hands-on experience with data integration and ETL/ELT tools.

Responsibilities

• Design, develop, and maintain data pipelines and integrations.
• Assist in implementing Data Virtualization and Data Quality frameworks.
• Collaborate with stakeholders to deliver data solutions.

Skills

Data engineering fundamentals

SQL proficiency

Python programming

ETL/ELT tools

Data virtualization concepts

Relational databases

Data modeling concepts

Cloud platforms

DevOps practices

Data governance

Education

Any Graduation/Post Graduation

Tools

Informatica

Oracle

Starburst (Trino/Presto)

Kafka

Job description

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 hands‑on 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 bank’s enterprise control functions. We also manage GT&O’s 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 end‑to‑end 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 real‑time 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.
• Hands‑on experience with data integration and ETL/ELT tools such as Informatica, supporting batch and near real‑time 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 event‑driven 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 cloud‑based 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 cross‑functional teams.

Desired skills

• Exposure to cloud‑native data services (e.g. ADLS, S3).
• Familiarity with CDC patterns, and hybrid (on‑prem + cloud) data integrations.
• Knowledge of streaming platforms such as Kafka for near real‑time 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