Senior Data Engineer

Description

Position at Bankrate.com

Job description

Bankrate is a technology company committed to producing the most reliable, personalizable and highest quality content and data to serve the financial needs of consumers. We rely on a talented team of expert technologists who help Bankrate learn from a wide variety of data, both internal and external, as well as structured, semi structured and unstructured sources of data. Bankrate seeks a passionate Data Engineer to join its top notch Data Engineering team to help build out a world class data platform to enable reporting, data sciences, and analytics to meet its challenges.

Responsibilities

  • Perform ETL/ELT tasks, work flows, both real-time and batch
  • Work with a wide variety of big data related technologies such as Elasticsearch, Kafka/Confluent platforms, Spark, Storm, Flume, Sqoop, Oozie, Snowflake, Talend, among others.
  • Work on cloud platforms like GCP BigQuery, AWS Lambda, Kinesis, AWS EMR, etc
  • Work in an agile environment
  • Build world class data pipelines and highly performant data transformations
  • Ensure data quality and help in achieving data governance
  • Communicate results and impact to business stakeholders.
  • Collaborate with other teams to tailor data products accordingly.

Technical Qualifications:

  • At least 3 – 5 years of big data work experience
  • Degrees preferably in computer science, applied mathematics, or other IT and Engineering disciplines.
  • Experience with open source tools
  • Very strong programmer (in Java or Scala), knowledge of Python or R is a plus.
  • Ability to communicate complex ideas in data to relevant stakeholders.
  • Working knowledge of SQL and manipulating large structured or unstructured datasets for analysis.
  • Working knowledge of at least one of Tableau, Kibana/Grafana, MSTR, Looker, SSRS
  • Strong architecture background
  • Well versed with various computer science/programming algorithms.

Non-Technical

  • Excellent analytical and problem-solving skills
  • Strong oral and written communication skills
  • A passion for empirical research and for answering hard questions with data.
  • Proven record of solving challenging problems in academia and/or industry.
  • Eagerness to collaborate with both technical and non-technical colleagues across various organizations.

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