3+ years of experience in data engineering or backend roles., Strong programming skills in Scala, Python, or Java., Solid understanding of Apache Spark and big data processing., Experience with Google BigQuery and BI/reporting tools..
Key responsibilities:
Design and implement scalable data pipelines using Spark and manage workflows in Databricks.
Create curated data layers to serve various reporting needs.
Collaborate with cross-functional teams to deliver dashboards and reports.
Troubleshoot data discrepancies and ensure timely delivery of critical reports.
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Welcome to Intelligent Luxury! We are the Future Of Luxury Online Shopping & Editorial.
A comprehensive, technology-powered approach to servicing the luxury goods shopper. Our goal is to deliver the most personalized experience for shoppers across all platforms.
Editorialist YX fuses personal styling, content, and shopping in one seamless digital experience driven by proprietary technology, e-commerce tools and luxury fashion content. We are reinventing the way brands and retailers reach UHNW consumers. We connect affluent shoppers with best-in-class stylists and editors and connect brands with the most powerful consumer, all while delivering a personalized white glove experience.
EYX drives greater efficiency and effectiveness, resulting in sales uplift.
STYLING: EYX's Invite-Only Private Client Membership service is our flagship offering for the true luxury goods consumer. We combine high-end styling with personalized technology to seamlessly integrate our clients' wardrobes with their lifestyle. Our stylists work with clients one-on-one to edit, inventory, and digitize their wardrobe, shape and build their collection, and create outfits for every occasion.
CONTENT: We leverage our leading editorial authority, expert styling and curation to create elevated storytelling with a luxury aesthetic and unique POV - all designed to drive shopping.
SOCIAL: Our social platform provide an elevated aesthetic designed to bring the epitome of luxury to life across all facets within every post. We spotlight the most sought-after products and include a call-to-action across every post.
TECHNOLOGY: The App delivers a personalized shopping feed experience exclusively for each client. Our machine learning utilizes proprietary data to ensure personalized recommendations, outfit creations and shopping feeds. We guarantee stylists make the right decisions and recommend the smartest items to our clients.
Learn more & Enroll: https://editorialistyx.com/experience-yx/
Editorialist melds personal styling, editorial content, and shopping into one seamless digital experience powered by proprietary technology and e-commerce tools. Editorialist.com our media property, delivers sophisticated content and commerce to aspirational and affluent consumers. Our stories connect readers with bespoke product and service solutions for fashion, accessories, beauty, and wellness needs. The cornerstone of our tech platform—the Editorialist app—blends content, digital services, and e-commerce for our elite clientele, individuals with an average net worth in excess of $550 million. Our co-founder and CEO Rafael Ortiz previously co-founded NexTag, the largest comparison shopping site for products and services, and was responsible for marketing and business development until its sale for $1.2 billion.
We're seeking a Software Development Engineer II (SDE2) to join our Data & Reporting team. This role is ideal
for someone who thrives at the intersection of data engineering and backend engineering, helping transform raw
data into meaningful insights that drive business decisions across Sales and Revenue, Billing, Traffic, User
engagement and behavior.
Your Responsibilities
Design and implement scalable data pipelines using Spark (Scala/PySpark) and manage workflows in Databricks.
Work with structured/unstructured data and create curated data layers (bronze, silver, gold) to serve various
reporting needs.
Develop and maintain integrations with internal APIs and external data sources to ingest and transform
operational data.
Collaborate with cross-functional teams to deliver dashboards and reports using Big Query and Looker Studio.
Partner with backend teams and data stakeholders to improve data quality, lineage, and performance.
Troubleshoot data discrepancies and ensure timely delivery of critical reports for business stakeholders.
More About You (here
3+ years of experience in a similar data engineering or backend-focused role.
Strong programming skills in Scala and/or Python and/or Java.
Solid understanding of Apache Spark, Databricks, and big data processing.
Experience with Google BigQuery, Looker Studio, or other BI/reporting tools.
Working knowledge of backend development: Java/Python, RESTful APIs, MySQL/PostgreSQL.
Experience with batch and near-real-time data pipelines, preferably on GCP or other cloud platforms.
Strong problem-solving skills and ability to work independently in a remote setup.
Bonus points:
Familiarity with Airflow or other orchestration tools
Experience in fashion or e-commerce domains.
Experience working with US Tech. companies
Benefits:
Work from home set up provided
Opportunity to work with a Global Team
Health insurance for self & family
Required profile
Experience
Industry :
Online Marketplace and E-commerce
Spoken language(s):
English
Check out the description to know which languages are mandatory.