Data Engineer delivering data for Financial Crime Prevention teams and supporting consistent data layer. Collaborating with multiple teams and defining expected solution details.
About the role
- Data Engineer crafting powerful data platforms at Kyndryl. Ensuring pristine data is accessible to decision-makers and transforming raw data into actionable insights.
Responsibilities
- Dive headfirst into the captivating world of data engineering at Kyndryl
- Craft data platforms into powerful tools for decision-makers
- Ensure a treasure trove of pristine, harmonized data is at everyone's fingertips
- Engineer the backbone of our data infrastructure
- Transform raw data into actionable insights
- Understand project objectives and requirements from a business perspective
- Build data pipelines, cleanse, normalize, and transform raw data
Requirements
- 6–8 years of experience working as a Data Engineer or in Azure cloud modernization
- Good experience in Power BI for data visualization and dashboard development
- Strong experience in developing data pipelines and using tools such as AWS Glue, Azure Databricks, Synapse, or Google Dataproc
- Proficient in working with both relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
- Excellent problem-solving, analytical, and critical thinking skills
- Ability to manage multiple projects simultaneously while maintaining a high level of attention to detail
- Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes.
Benefits
- Flexible, supportive environment
- Well-being prioritized
- Learning opportunities
- Certification in all four major platforms
- Health insurance
- Wellness programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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