Position Details
About this role
Support Capital One's data transformation initiatives by designing and developing large-scale data pipelines and analytics solutions using big data technologies.
Key Responsibilities
- Design data pipelines
- Develop big data solutions
- Support real-time data processing
- Collaborate with data teams
- Optimize data storage
Technical Overview
Developing data pipelines with Java, Scala, Python, and leveraging cloud data warehousing solutions like Redshift and Snowflake. Utilizing Hadoop, Spark, Kafka for streaming and batch processing.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 3+ years of experience in big data technologies, proficient in Python, Scala, Java, and cloud-based data warehousing solutions like Redshift and Snowflake. They should have strong analytical skills and experience with streaming and real-time data processing.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with big data tools, No proficiency in Python or Scala, No experience with data warehousing, Inability to work with cloud data platforms
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