Data Engineer I A - GBS IND

Bank of America; India; Hybrid; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Competitive benefits

Flexible work environment

Job summary

A leading financial institution in India is looking for a Data Engineer I A to participate in development and maintenance of big data systems. The ideal candidate will have over 4 years of experience in Hadoop, SQL, and data optimization. This full-time position requires flexibility in shift timings and offers opportunities for growth. Join us to make an impact with cutting-edge data analytics solutions in a collaborative and diverse environment.

Qualifications

• 4+ years of relevant experience, particularly in Hadoop and Unix environments.
• Deep expertise in the Hadoop ecosystem and cluster management.
• Hands–on experience with Apache Spark for data processing.

Responsibilities

• Participate actively in development and maintenance activities.
• Monitor and manage daily batch processes across the Hadoop ecosystem.
• Develop complex technical objects according to best practices.

Skills

Hadoop expertise

Unix knowledge

Hive querying

Apache Spark

Python scripting

SQL skills

ETL pipelines

Data optimization

Problem-solving

Education

BE/BTech/MCA

Tools

Hadoop

Tableau

Autosys

Job description

Job Title

Data Engineer I A - GBS IND

Company

Bank of America

Overview

Join to apply for the Data Engineer I A - GBS IND role at Bank of America.

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.

Job Description

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 Data Analytics Strategy platform and decision tool and FRCIS team is responsible for Data strategy for entire CSWT and development of platforms which supports the Data Strategy SDP, DataBank, Data Science platform, Event Hub , Report hub are key platforms of Data Platform initiative.

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 elevate 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.

Requirements

Education: BE/BTech/MCA.

Experience

02 Years To 04 Years.

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.

Work Timings

Open for Flexible Shift Timings.

Job Location

Chennai & GIFT.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Banking