Lead Data Engineer

Company: Capital One
Location: Plano , Texas, United States
Type: Full-time
Posted: 11.OCT.2018


Plano Town Center (31064), United States of America, Plano, Texas At Employer, we re building a leading information-based technology compan...


Plano Town Center (31064), United States of America, Plano, Texas

At Employer, we re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Employer is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Lead Data Engineer

The Role:

We are looking for a driven professional to join our team of passionate data engineers in creating Employer s next generation of data products and capabilities. You ll build a brand-new solution/platform that will mine for, ingest, compile, and display multi-terabytes of data.

Essential Functions:

  • Architecting state-of-the-art solution with the latest, best-fit technologies and Big Data techniques (machine learning, large-scale web crawler, structured and unstructured data ingestion/integration/modeling/analysis)
  • Building monitoring and generate reports with metrics
  • Build data pipeline frameworks to automate high-volume and real-time data delivery to our high-availability, high-visibility Amazon Web Services (cloud-based) platform.
  • Build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners
  • Continuously integrate and ship code into cloud (AWS, Kubernetes) production environment
  • Develop applications from ground up using a modern technology stack: Java, Python, Scala, Spark, Postgres, AngularJS, and NoSQL (MongoDB, Cassandra)
  • Work directly with Product Owners and end-users to develop solutions in a highly collaborative and Agile environment
  • Help grow and mentor team members on the fine art of data engineering and software abstractions
  • Have a Passion for learning, growing, and mentoring in a team environment

Basic Qualifications:

  • At least 2 years within Financial Services industry (FinTech, banking, credit, cryptocurrency, regulatory, compliance)
  • At least 3 years of experience developing Java-based software solutions
  • At least 3 years of experience within the Hadoop ecosystem (MapReduce, Pig, Hive, Hbase)
  • At least 3 years of experience with NoSQL implementation (Mongo, Cassandra, etc. a plus)
  • At least 3 years of experience with Relational Database Systems and SQL
  • At least 2 years experience developing software solutions in Python or Scala
  • At least 5 years experience with UNIX including basic commands and Shell scripting
  • At least 5 years of combined experience building data pipelines and fit for purpose data stores

Preferred Qualifications:

  • Bachelor s Degree in Computer Science or related field
  • 2+ years of experience with Apache Spark
  • 5+ years of experience with Core Java
  • 3+ years of experience with Python or Scala
  • 4+ years of experience with Agile engineering practices
  • 2+ years of experience working with AWS platforms and services
  • 4+ years of experience working with automated build and continuous integration systems

At this time, Employer will not sponsor a new applicant for employment authorization for this position.

Associated topics: data integration, data integrity, data quality, data warehouse, data warehousing, database, database administrator, erp, mongo database administrator, teradata

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