Software Engineer II A - GBS IND

Bank of America
Gurugram, Gandhinagar
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 6-8 yearsSkills: ["Communication","Collaboration","Problem-solving"]

Data Engineer role focused on building and maintaining scalable data pipelines within enterprise data platforms. You’ll implement Data Virtualization, Data Quality frameworks, and Metadata/Data Lineage capabilities, working with senior engineers and architects to modernize legacy data processes, ensure data governance and security, and deliver trusted data solutions for enterprise audit and governance needs.

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FursaFursa
Bank of America
Bank of America
5 months ago

Software Engineer II A - GBS IND

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 days agoStatus: Live

Job Summary

Data Engineer role focused on building and maintaining scalable data pipelines within enterprise data platforms. You’ll implement Data Virtualization, Data Quality frameworks, and Metadata/Data Lineage capabilities, working with senior engineers and architects to modernize legacy data processes, ensure data governance and security, and deliver trusted data solutions for enterprise audit and governance needs.
Location: Gurugram, Gandhinagar
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key 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.
  • •Collaborate with architects, platform teams, governance, security, and business stakeholders to deliver aligned data solutions.

Key Requirements

  • •6 to 8 years of experience in data engineering with strong SQL and Python for building and maintaining data pipelines
  • •Hands‑on experience with ETL/ELT tools such as Informatica for batch and near real‑time processing
  • •Working knowledge of data virtualization concepts, with exposure to Starburst (Trino/Presto) preferred
  • •Experience with relational databases (e.g., Oracle) and familiarity with data warehouses and data lake architectures
  • •Familiarity with at least one cloud platform (Azure, AWS, or GCP) and DevOps/CI/CD practices
Experience:6-8 yearsData engineeringEnterprise dataData integrationData warehousing
Skills:CommunicationCollaborationProblem-solving
Tech Stack:SQLPythonInformaticaStarburstTrinoPrestoOracleData warehouseData lakeAzureAWSGCPCI/CDDevOps

Company Brief

Bank of America
One of the largest banking institutions in the United States, providing consumer and commercial banking, wealth management, investment banking, and financial services to individuals, businesses, and institutions globally.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Charlotte, United States
Founded: 1904
WebsiteLinkedIn