TL;DR

Senior Data Engineer (Data): Migrating existing data pipelines from GA4 to an internal Customer Behavior Source, focusing on data correctness and stability. Focus on refactoring Spark-based ETL pipelines, ensuring data accuracy, and collaborating with analytics and product teams to validate migrated data.

Location: Istanbul, Turkey. Hybrid work (home/office).

Company

%hirify_global% is setting up a brand-new Data Engineering team within a leading European Online Fashion & Beauty Retailer.

What you will do

Migrate existing data pipelines from GA4 to an internal Customer Behavior Source.
Refactor and adapt Spark-based ETL pipelines to match a new behavioral event schema.
Ensure data accuracy, consistency, and reliability during and after the migration.
Work with large-scale datasets using PySpark and SQL.
Collaborate with analytics and product teams to validate migrated data and resolve discrepancies.
Document pipeline logic, data models, and migration decisions.

Requirements

Strong hands-on experience with PySpark and Apache Spark.
Proficiency with Airflow for orchestrating data pipelines.
Solid SQL skills for data transformation and validation.
Experience working with Databricks in a production environment.
Familiarity with data modeling concepts.

Culture & Benefits

Paid Vacation.
Hybrid Work (home/office).
Sick Days.
Sport/Insurance Compensation.
Holidays Day Off.
English Classes.