Lead Data Engineer Role in the Banking Sector
The banking industry is in a constant state of innovation and growth, primarily driven by technological advancements. The need to harness the vast amounts of data generated daily has given rise to the crucial role of a Lead Data Engineer. This position is particularly relevant in tech-focused banking institutions such as Capital One, where marrying data with emerging technologies is a passion, not just a job requirement.
As a Lead Data Engineer at Capital One, you are expected to be a pioneer in the technology space, continually breaking new grounds and finding novel solutions to complex business problems. This is achieved in a fast-paced, collaborative, inclusive, and iterative delivery environment. The role presents an opportunity to be at the forefront of driving a significant transformation within the bank.
Key Responsibilities of a Lead Data Engineer
A Lead Data Engineer’s work is both challenging and rewarding. Here are some of the primary responsibilities you’ll undertake:
- Collaborating with Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies.
- Working with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems.
- Mastering programming languages such as Java, Scala, Python, and working with open source RDBMS and NoSQL databases, and cloud-based data warehousing services like Redshift and Snowflake.
- Staying on top of tech trends, learning new technologies, participating in internal and external technology communities, and mentoring other members of the engineering community.
- Collaborating with digital product managers to deliver robust cloud-based solutions that drive powerful experiences for millions of Americans, aiming to achieve financial empowerment.
- Performing unit tests and conducting reviews with other team members to ensure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
Qualifications for the Lead Data Engineer Role
The role of a Lead Data Engineer is a specialized one, requiring a specific set of qualifications. The basic qualifications include:
- A Bachelor’s Degree.
- At least 4 years of experience in application development (Internship experience is not considered).
- At least 2 years of experience in big data technologies.
- At least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud).
Preferred qualifications include:
- 7+ years of experience in application development including Python, SQL, Scala, or Java.
- 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
- 4+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
- 4+ year experience working on real-time data and streaming applications.
- 4+ years of experience with NoSQL implementation (Mongo, Cassandra).
- 4+ years of data warehousing experience (Redshift or Snowflake).
- 4+ years of experience with UNIX/Linux including basic commands and shell scripting.
- 2+ years of experience with Agile engineering practices.
Equal Opportunity at Capital One
Capital One is an equal opportunity employer committed to non-discrimination in compliance with applicable federal, state, and local laws. They promote a drug-free workplace and consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.
If you love building and pioneering in the tech space, enjoy solving complex business problems, and are passionate about data and emerging technologies, a Lead Data Engineer role at Capital One could be the perfect fit for you. Find more about the role Here.
