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Personalize every transactional touchpoint.

Senior Data Engineer

$140k – $150k • 0.025% – 0.09%
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Tasks include, but are not limited to:
● Design, develop and maintain a highly reliable, highly scalable data warehouse and pipelines
to store, move and transform data without reinventing the wheel.
● Define data integrity and performance SLAs and develop and implement logging, testing and
continuous monitoring strategies to enforce SLAs.
● Partner with business, data and engineering teams to build foundational datasets that are
trusted, well-understood, aligned with business strategy and enable self-service.
● Identify, document and promote best practices for engineering, product and business teams
that maximize the value of our unique data.
● Develop and drive security protocols for data at rest and in transit that meet regulatory,
contractual and ethical obligations while balancing business needs.

QUALIFICATIONS AND EXPERIENCE
● 5+ years of experience working in data architecture, data modeling, data pipelines, master
data and metadata management.
● Proven experience with key big data paradigms (e.g. MapReduce, data warehouses & lakes)
and technologies ( e.g. AWS Redshift, AWS EMR-Hadoop/Spark, Airflow).
● Proven track record in writing, debugging and optimizing ETL jobs in a distributed data
framework (e.g. Hadoop, Spark).
● 3+ years of experience with Java, Python and/or Scala. You’ll be writing production code.
● Bachelor’s degree in Computer Science, Engineering or a related field, or equivalent work
experience.
● Excellent written and verbal communication and interpersonal skills, and ability to effectively
collaborate with technical and business partners.

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