In this role, you will:
- 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 setting, 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.
Required Qualifications:
- 4+ years of Data Engineering experience,
or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
Desired Qualifications:
- 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 3+ years of Spark experience
- 3+ experience on Abinitio
- 3+ years of Python or other scripting language
- 3+ years of data warehouse experience
- 3+ years of SQL experience
- Ability to conduct code reviews with a focus on testability and code coverage.
- Should have experience working in an Agile environment using Scrum or Kanban.
- Fluent in communication
- Should have executed end to end projects in data engineering
- 1+ years of strong experience with Hadoop
- 1+ years of strong experience with Hive
- 1+ years of strong experience with Python
- 1+ years of experience with Kub
📌 Senior Data Engineer- Spark, Abinitio, Python, SQL, Data warehouse (Bengaluru)
🏢 Wells Fargo
📍 Bengaluru
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