Remote Data Engineer, B2C Analytics & Pipelines

Showcify, Inc.; Abu Dhabi; Remote; AED 300.000 - 480.000; Vollzeit

Benefits dieser Stelle

Remote work

6 month extendable contract

Zusammenfassung

Showcify, Inc. seeks a Data Engineer to design, build, and scale data platforms for consumer data across customer, product, and marketing domains. You will craft reliable pipelines, enable analytics, and drive data-driven decisions with cross-functional teams in a remote setting.

The ideal candidate has 3+ years in data engineering, strong Python/SQL, and hands-on ETL/ELT experience on cloud platforms like BigQuery, Snowflake, or Redshift.

Qualifikationen

• 3+ years of experience in Data Engineering.
• Strong Python and SQL proficiency.
• Experience with B2C, customer, product, or marketing data.
• Hands-on experience building ETL/ELT pipelines.
• Experience with cloud data platforms (BigQuery, Snowflake, Redshift).
• Knowledge of customer data models, analytics, funnels, retention, lifecycle.
• Familiarity with version control, testing, and software engineering practices.

Aufgaben

• Design, build, and maintain scalable ETL/ELT processes using Python and SQL.
• Build data pipelines from web, mobile, marketing, and customer platforms.
• Ensure data is accurate, accessible for analytics and reporting.
• Work with large-scale datasets to generate insights.
• Ensure event data is captured and available for analytics.
• Integrate pipelines from marketing, acquisition, and advertising platforms.
• Collaborate with cross-functional teams to drive data-driven decisions.

Kenntnisse

Python

SQL

ETL/ELT

Data modeling

BigQuery

Snowflake

Redshift

dbt

Docker

Kubernetes

Tools

BigQuery

Snowflake

Redshift

dbt

Docker

Kubernetes

Jobbeschreibung

Showcify, Inc. seeks a Data Engineer to design, build, and scale data platforms for consumer data across customer, product, and marketing domains. You will craft reliable pipelines, enable analytics, and drive data-driven decisions with cross-functional teams in a remote setting.

The ideal candidate has 3+ years in data engineering, strong Python/SQL, and hands-on ETL/ELT experience on cloud platforms like BigQuery, Snowflake, or Redshift.