Sr. Data Engineer (Data Product Engineering)
Company: Allergan Data Labs
Location: Irvine
Posted on: May 5, 2024
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Job Description:
As theSr. Data Engineer, you will report to the Director, Data and
Machine Learning, as well as continuously collaborate with key
stakeholders across the business to solve the most important
technical problems.
Responsibilities
Collaborate with cross functional partners (Product Managers, Data
Scientists, Machine Learning Engineers, Software Engineers,
Business teams) to build data products
Develop, optimize, and maintain complex ETL processes for moving
and transforming data.
Champion code quality, reusability, scalability, security and help
make strategic architecture decisions
Implement processes and tools to ensure data quality, enforce data
governance policies and engineering best practices
Develop APIs and Microservices to expose and integrate data
products with software systems
Required Experience & Skills
Completed BS, MS, or PhD in Computer Science, Mathematics,
Statistics, Engineering, Operations Research, or other quantitative
field
5+ years of experience as a Data Engineer writing code to extract,
process and store data within different types of data stores
(Snowflake, Postgres, DynamoDB, Kafka, Graph databases)
Strong programming skills in Python and understanding of core
computer science principles
Experience with building batch and streaming pipelines using
complex SQL, PySpark, Pandas, and similar frameworks
Knowledge of relational and dimensional data modeling concepts to
build data products
Experience with data quality checks, data monitoring solutions
Experience with orchestrating complex workflows and data pipelines
using like Airflow or similar tools
Experience with Git, CI/CD pipelines, Docker, Kubernetes
Experience with architecting solutions on AWS or equivalent public
cloud platforms.
Experience with developing data APIs, Microservices and event
driven systems to integrate data products
Strong interpersonal and verbal communication skills
Preferred Experience & Skills:
Knowledge of data mesh concepts
Experience in assessing and implementing new data tools to enhance
the data engineering stack
Knowledge in domains such as recommender systems, fraud detection,
personalization, and marketing science
Knowledge of vector databases, knowledge graphs, and other
approaches for organizing & storing information
Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt,
Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty,
Data Cataloging tools, Data Observability tools and Data Governance
tools
Our Core Values
Be Humble: You're smart yet always interested in learning from
others.
Work Transparently: You always deal in an honest, direct and
transparent way.
Take Ownership: You embrace responsibility and find joy in having
the answers.
Learn More: Through blog posts, newsletters, podcasts, video
tutorials and meetups you regularly self-educate and improve your
skill set.
Show Gratitude: You show appreciation and return kindness to those
you work with.
Perks
Competitive salary.
Competitive annual bonus targets.
401k with dollar for dollar match, up to 6% of eligible earnings
(base, bonus). Plus additional company contribution.
RSU grants (Long Term Incentives) for approved roles.
Comprehensive medical, dental, vision and life insurance.
17 paid holidays per year, including 3 floating holidays.
Annual Paid Time Off (PTO), with separate sick days
12 weeks paid Parental Leave
Caregiver Leave
Adoption and Surrogacy Assistance Plan
Flexible workplace accommodations.
Free gym membership for those in our Irvine, CA WeWork office.
We celebrate our wins with opportunities to attend Lakers, Knicks,
Anaheim Ducks, Anaheim Angels and NY Rangers games.
Opportunities to attend concerts, festivals and other live
entertainment events in recognition of delivering great work.
Attend AWS Re:Invent in person (Las Vegas) or virtually each
year.
Tuition reimbursement.
Attend a tech or marketing conference of your choice each year.
A MacBook Pro and accompanying hardware to do great work.
A modern productivity toolset to get work done: Slack, Miro, Loom,
Lucid, Google Docs, Atlassian and more.
Generous discounts on SkinMedica skin care products.
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Keywords: Allergan Data Labs, Temecula , Sr. Data Engineer (Data Product Engineering), Engineering , Irvine, California
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