Senior Data Engineer, Wells Fargo

Wells Fargo

Location:
India, Bengaluru

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Wells Fargo is seeking a Senior Software Engineer. The Finance Data Operation Team (FDO) within Enterprise Functions Technology (EFT) is seeking a Senior Data Engineer to join our FDLZ (Finance Data Landing Zone) team at Wells Fargo Corporate Treasury. Join a growing team of Data Engineers using the latest Big Data technologies to deliver efficient data pipelines for Corporate Risk and Finance reporting. This senior data engineer will work on the Risk and Finance Data Services team within Data Solutions & Services delivering Data-as-a-Service application. The senior engineer will work directly with program management to plan and track the data aggregation deliverables of the program and drive best practices for scaled Agile development. The candidate will work hands on with Big Data technologies such as Apache Hadoop, Apache Hive, Apache Kafka, and Apache Spark. The data engineering team will work to develop proprietary APIs for efficient data delivery to consuming applications.

Job Responsibility:

Lead moderately complex initiatives and deliverables within technical domain environments
Contribute to large scale planning of strategies
Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Requirements:

4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Good understanding on workings of Rest APIs, Dremio and Object store
Experience in building pipelines with Apache Kafka
Overall 4+ years of experience as a Software Engineer
At least 4+ years of experience in building big data pipelines
At least 4+ years of experience working with Apache Spark, Hive and Hadoop
At least 4+ years of experience in working with any RDBMS
Good experience with programming in Python, Spark-SQL and good understanding of bash scripting
Good experience in working with CI/CD pipelines, improving code coverage and vulnerability remediation
2+ years of experience in Agile mode of working
Proficiency in data modeling and database design
Experience in working with Open table formats like (Iceberg, Delta)
Experience in building end-to-end medallion architecture
Experience with GenAI use cases
Knowledge of data governance and data security best practices
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Experience with containerization technologies like Docker and orchestration tools like Kubernetes

Nice to have:

Experience with GenAI use cases
Knowledge of data governance and data security best practices
Experience with cloud platforms such as AWS, Azure, or Google Cloud
Experience with containerization technologies like Docker and orchestration tools like Kubernetes

Additional Information:

Job Posted:
June 11, 2025

Expiration:
June 17, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Senior Data Engineer