Software Engineer I A- GBS IND

Job Description:

About Us

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.  Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

 Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us!

Global Business Services

Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.

Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation.

In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.

Process Overview*

The FRCIS (Fraud Reporting Controls and Information Services) is Fraud and Claims’  analytics and reporting environment, based of SQLServer platform,  supporting 85+ sources of records with business-driven rationales that logically combine disparate data sets to achieve an understanding for potential fraud and related data.  The raw and evolved data enable business users to instill preventative and proactive measures  to improve on business processes with the intent to prevent fraud and identify trends and enabling dynamic reporting for Operations, Strategies, Analytics and Regulatory business teams. This includes Loss Tracking, a critical component to the overall health of the Fraud & Claims portfolio that supports the ORCIT reporting platform.

The FRCIS application provides a 360-degree view of the Fraud & Claim products, calculates various customer indicators and leverages over 85+ SORs data to enable Fraud Reporting Controls and Information Services on SQLServer and SDP(Hadoop)

Job Description*

We are seeking a mid-level Data Science and Engineering professional with 4+ years of relevant experience, with a strong focus on Hadoop and Unix environments. The candidate will work on FRCIS, supporting the development of a unified SDP and user interface platform for consumer applications, fraud detection, and AML tracking. Key responsibilities include working within the Hadoop ecosystem, ensuring system stability and performance, and supervising daily batch processes. Strong hands-on experience with big data technologies such as Hive, Spark, and Impala, along with the ability to handle large datasets, is required. The role also involves executing development tasks assigned by CIO leads, generating business reports, providing required data, and supporting ad hoc requests. The ideal candidate will deliver production support and demonstrate a strong commitment to high-quality software delivery, complex problem solving, and continuous process improvement through innovative ideas.

Responsibilities*

• Participate actively in development/maintenance activities.
• Ensure stability, performance, and reliability of big data systems.
• Monitor and manage daily batch processes across the Hadoop ecosystem.
• Collaborate with CIO leads to deliver development tasks and technical solutions.
• Participate in code reviews, testing, and deployment activities.
• Support during upgrades and new functionality implementations.
• Facilitate brainstorming meetings with team to review, analyses, query optimization, conduct Root Cause Analysis & troubleshoot multiple and complex issues , assess business systems and implement changes as needed
• Develop complex technical objects in accordance with the technical development standards and best practices Troubleshoot, prioritize, resolve, and escalate production issues
• Participate in continuous process improvement.
• Proactively monitor Hadoop maintenance tasks, troubleshoot failed processes, and address issues as soon as possible.
• Monitor system's health and performance.
• Ensure high levels of performance, availability, sustainability, and security.
• Refine and automate regular processes, track issues, and document changes.
• Assist developers with query tuning, schema refinement, query improvement and optimization.
• Understand Agile methodologies and work independently in sprints
• Maintain technical documentation and ensure compliance with data governance standards.

Foundational skills*

• 4+ years of relevant experience, particularly in Hadoop and Unix environments.
• Deep expertise in the Hadoop ecosystem, including cluster management and performance tuning.
• Strong command over Hive for complex data querying and optimization.
•  Hands-on experience with Apache Spark for distributed data processing and analytics.
•  Proficient in Python for scripting, automation, and data manipulation.
• Solid working knowledge of Unix/Linux systems and Shell scripting.
• Advanced SQL skills for handling large-scale relational data operations.
• Experience with Autosys for job scheduling, monitoring, and troubleshooting.
• Strong understanding of ETL pipelines and data integration workflows.
• Ability to work with large datasets, ensuring scalability and performance.
• Proven problem-solving skills with a focus on delivering high-quality, production-ready solutions.

Desired skills

• Experience with Tableau or other data visualization/reporting tools.
• Familiarity with Agile methodologies and sprint-based development cycles.
• Exposure to DevOps practices, CI/CD pipelines, and automation tools.
• Knowledge of Impala for fast SQL queries on Hadoop.
• Understanding of data security, privacy, and compliance standards.
• Experience with cloud platforms like AWS, Azure, or GCP.
• Ability to work in cross-functional teams and communicate effectively.
• Familiarity with Git or other version control systems.
• Experience in performance tuning of big data jobs and queries.
• Ability to propose innovative solutions and contribute to architectural decisions.

Education*

BE/BTech/MCA

Experience Range*

4– 7Yrs

Work Timings*

Open for Flexible Shift Timings

Job Location*

CHN/HYD