Software Engineer - Data Engineering/Generative AI
Wells Fargo
- Location
- Serilingampalli, Telangana, India
- Job type
- Full-time
Required skills
- Python
- Agile
- AWS
- Apache
- Apache Spark
- Azure
- banking
- Bash
- compliance
- data modeling
- database
- GCP
- Hadoop
- Hive
- Java
- Service Level Agreements
- Shell Scripting
- Spark
- SQL
- Unix
- REST APIs
About the role
Wells Fargo
Website:
wellsfargo.com
Job details:
About This Role
Wells Fargo is seeking a...
In This Role, You Will
- Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts
- Identify opportunities for service quality and availability improvements within the technology domain environment
- Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments
- Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains
- Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements
- Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements
- Provide information to technology colleagues, internal partners, and stakeholders
Required Qualifications
- 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications
- Demonstrate in-depth understanding of Data Warehousing (DWH) concepts.
- Strong experience in large data transformation projects.
- Experience designing and optimizing solutions for high-volume batch processing
- Good experience on Unix Shell scripting.
- At least 2+ years of experience working with any RDBMS
- At least 2+ years of experience in building big data pipelines.
- At least 2+ years of experience working with Apache Spark, Java, Hive, Hadoop and GCP
- At least 2+ years of experience in using LLMs for automation.
- Strong experience with programming in Python, Java, SQL and good understanding of bash scripting for data processing and automation
- Hands-on experience with Apache Spark for large-scale data processing.
- Experience with Autosys or similar job scheduling/orchestration tools.
- Experience in working with CI/CD pipelines, improving code coverage and vulnerability remediation
Job Expectations
- 2+ years of experience in Agile mode of working
- Decent understanding on workings of Rest APIs, Dremio and Object store
- Proven ability to independently deliver complex project tasks and solutions.
- Solid understanding of data engineering best practices, including validation and quality assurance.
- Excellent troubleshooting and problem-solving skills.
- Proficiency in data modeling and database design
- Experience in working with Open table formats like (Iceberg, Delta)
- Knowledge of data governance, security, and compliance requirements.
- Hands on Experience with GenAI use cases.
- Experience with cloud data platforms (e.g., AWS, Azure, GCP).
- Exposure to financial services or Commercial and corporate investment banking domains
Reference Number
R-529895
Click on Apply to know more.
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