Data Transformation Specialist
3 days ago
We are seeking a talented Data Transformation Specialist to join our team at Capital One. This role involves collaborating with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
Key Responsibilities- Collaborate with Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.
- Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
- Utilize programming languages like Java, Scala, and Python.
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies.
- Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences.
- Perform unit tests and conduct reviews with other team members to ensure code quality.
- Bachelor's Degree
- At least 3 years of experience in application development
- At least 1 year of experience in big data technologies
- 5+ years of experience in application development including Python, SQL, Scala, or Java
- 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
- 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
- 2+ year experience working on real-time data and streaming applications
- 2+ years of experience with NoSQL implementation (Mongo, Cassandra)
- 2+ years of data warehousing experience (Redshift or Snowflake)
- 3+ years of experience with UNIX/Linux
- 2+ years of experience with Agile engineering practices
We offer a comprehensive, competitive, and inclusive set of health, financial and other benefits, including an estimated salary of $140,000 - $170,000 per year, based on experience and qualifications.
Capital One promotes a drug-free workplace and is an equal opportunity employer committed to diversity and inclusion in the workplace.
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