Senior Data Engineer (ETL-Informatica PowerCenter|IICS)
Wells Fargo · Bengaluru · onsite · Posted 50d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Summary
Wells Fargo is seeking a Senior Data Engineer.
Responsibilities - Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables
- Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting
- Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors
- Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis
- Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements
- Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals
- 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 4 years of IT experience, with strong expertise in Data Integration, ETL Development, and Database Technologies.
- Hands-on experience with Informatica PowerCenter/IICS and Python for data processing and automation.
- Strong proficiency in UNIX/Linux environments and Shell Scripting.
- Advanced knowledge of SQL with proven experience in query optimization and performance tuning.
- Hands-on experience working with Oracle databases, including database design, development, and tuning.
- Experience leveraging Generative AI tools such as GitHub Copilot, Devin AI, or similar AI-assisted development platforms to improve productivity and code quality.
- Demonstrated experience working with Very Large Databases (VLDBs) and handling large-scale data processing workloads.
- Experience with enterprise job scheduling and monitoring tools such as AutoSys or equivalent batch orchestration platforms.
- Strong understanding of Data Quality, Data Governance, Metadata Management, and Data Lineage concepts.
- Proven expertise in designing, developing, and maintaining scalable ETL/ELT solutions.
- Experience supporting production environments, including incident analysis, troubleshooting, and problem resolution.
- Working knowledge of Apache Spark for distributed data processing.
- Exposure to cloud and modern data platforms such as Google Cloud Platform (GCP) and/or MongoDB is highly desirable.
- Excellent analytical, problem-solving, communication, and stakeholder-management skills.
- Collaborate with business and technology stakeholders to understand requirements and perform detailed impact analysis.
- Design, develop, enhance, and maintain robust and scalable ETL/ELT data pipelines.
- Create technical designs and implement solutions that align with enterprise architecture and data management standards.
- Develop high-quality, maintainable code using industry best practices and AI-assisted development tools where appropriate.
- Perform unit testing, support integration testing, and assist QA teams during validation cycles.
- Monitor, troubleshoot, and optimize ETL processes to ensure reliability, scalability, and performance.
- Conduct performance tuning of ETL jobs, SQL queries, and database processes.
- Support production deployments, release activities, and post-production validation.
- Investigate and resolve production incidents within defined SLA timelines.
- Ensure adherence to data quality standards, governance policies, and compliance requirements.
- Maintain comprehensive technical documentation, operational runbooks, and knowledge artifacts in accordance with organizational standards.
- Participate in code reviews, peer reviews, and continuous improvement initiatives.
- Collaborate effectively with cross-functional teams in an Agile delivery environment.
- Informatica PowerCenter / IICS
- Python
- SQL Oracle
- UNIX / Shell Scripting
- AutoSys or equivalent scheduling tools
- Spark
- Data Quality Data Lineage
- GCP
- MongoDB
- Generative
- AI Tools (GitHub Copilot, Devin AI, etc.)
Sourced from naukri
Skills
AutomationAgileApache SparkData Engineercloud platformscode qualityApacheautosyscopilotAgile DeliveryAnalyticsData EngineeringcloudAI ToolsArchitectureData GovernancecomplianceCustomer RelationshipsArtificial Intelligence
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
Industries
Financial Services
Employee ratings
8,681 reviews
3.6/ 5
Culture
3.5
Career growth
2.9
Work-life
3.8
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