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Sr. Data Engineer

1 month ago

Irvine, United States Allergan Data Labs Full time

As the Sr. 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 : Youre 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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