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Sr. Data Engineer (Data Product Engineering)

Company: Allergan Data Labs
Location: Irvine
Posted on: April 3, 2024

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.

  • 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.


          • 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.


Keywords: Allergan Data Labs, Irvine , Sr. Data Engineer (Data Product Engineering), Engineering , Irvine, California

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