SENIOR DATA ENGINEER
Company: Yeah! Global
Location: San Francisco
Posted on: October 19, 2024
Job Description:
Note: This position might offer visa sponsorship for the right
candidate.
Find out exactly what skills, experience, and qualifications you
will need to succeed in this role before applying below.
One of our clients is on the hunt for a Senior Data Engineer to
bolster fundamental data models and infrastructure. You'll be
instrumental in fortifying our real-time and data annotation
pipelines, analytics warehouse, MLOps, real-time monitoring, and
business intelligence reporting.We harness the power of ML/NLP to
swiftly detect and safeguard sensitive personal, health, financial,
and credential information. Your direct contributions will shape
the essence of our product. Collaborating with Engineers, Data
Scientists, and Data Analysts, you'll uphold rigorous technical
standards for data management and steer data strategies in both the
short and long term. This role is a hybrid position stationed in
our San Francisco office.Responsibilities:
- Devise, construct, and take charge of the core data models and
infrastructure to govern data throughout the analytics stack,
spanning AWS, Kafka, Glue, S3, Snowflake, Cassandra, Cockroach DB,
Tableau, and Datadog.
- Forge tight partnerships with Data Analysts to unleash the data
essential for fueling dashboards, ad-hoc analyses, monitoring, and
high-caliber decision-making across the organization.
- Collaborate closely with ML Engineering and Data Science to
amplify our data pipelines tailored for machine learning,
analytics, and data annotation.
- Formulate and execute a data quality monitoring system
integrating source-to-target data validations and anomaly
detection.
- Partner with Security and Engineering to satisfy data
governance prerequisites.Requirements:
- Mastery of SQL. Substantial proficiency in Python or
equivalent.
- Over five years of hands-on experience with analytical data
warehouses/lakes. Preference for AWS/Snowflake expertise.
- Over five years of experience in developing data pipelines
supporting ML/NLP initiatives. Familiarity with leading MLOps and
data annotation platforms is advantageous.
- Over five years of experience scrutinizing intricate datasets
using SQL, fine-tuning queries, collaborating with Data Analysts to
automate dashboards (with a nod to Tableau), and conducting ad-hoc
analyses that spawn actionable business insights.
- Bachelor's degree in Computer Science or a related field.
Possession of an MS/PhD is a bonus.
- Familiarity with source code repositories and cloud monitoring
tools (with a preference for Datadog).
- Exceptional communication skills, robust analytical prowess,
and the ability to operate autonomously or as part of a team.
- A knack for thriving in a dynamic environment, exhibiting
flexibility, and being willing to dive in and tackle any challenge
for success.
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Keywords: Yeah! Global, Dublin , SENIOR DATA ENGINEER, Engineering , San Francisco, California
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