Position Details
About this role
Lead Data Engineer role within Capital One’s Enterprise Platforms Technology (EPTech), focused on building and supporting cloud-based data solutions. The position works with Agile teams, mentors developers, and delivers scalable solutions using modern data warehousing and big data technologies.
Key Responsibilities
- Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
- Utilize Java, Scala, Python and RDBMS/NoSQL databases with Redshift and Snowflake
- Perform unit tests and code reviews to ensure quality and performance tuning
- Collaborate with product managers to deliver robust cloud-based experiences
- Share technology learning interests and mentor other members of the engineering community
Technical Overview
The technical stack includes Java, Python, Scala, SQL and working with Open Source RDBMS and NoSQL databases. Data warehousing and cloud services include Redshift and Snowflake, with cloud computing across AWS (Amazon Web Services), Microsoft Azure, and Google Cloud Platform, alongside distributed big data tools such as MapReduce, Hadoop, and Hive.
Ideal Candidate
The ideal candidate is a lead data engineer with 4+ years of application development experience and at least 2 years working with big data technologies. They have at least 1 year of cloud computing experience on AWS (Amazon Web Services), plus strong skills in Java, Python, Scala, SQL, and data warehousing platforms like Redshift and Snowflake.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's Degree required, At least 4 years of experience in application development (internship experience does not apply), At least 2 years of experience in big data technologies, At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
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