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Senior Data Engineer at Zoolatech (вакансія неактивна)

Rakuten

Zoolatech Всі вакансії (0)

4.8 ★ Based on
Founded in 2017
Miami, US (4 Locations)
501 to 1000 Employees

Деталі

Дата публікації

7 Січня, 2026

Дата закриття

15 Лютого, 2026

Локація

Istanbul, Turkey


Senior Data Engineer – Zoolatech Home Careers Senior Data Engineer Senior Data Engineer Apply Refer a friend Location: Istanbul, Turkey Seniority: Senior Technologies: Data Overview Responsibilities Requirements Are you excited by the challenge of building scalable data infrastructure that powers search, browse, and recommendation systems used by millions of users? We are setting up a brand-new Data Engineering team within leading European Online Fashion & Beauty Retailer to take ownership of key pipelines that fuel the company’s ML and data-driven services.The project focuses on migrating existing data pipelines from GA4 (Google Analytics 4) to an internal Customer Behavior Source – a company-specific representation of behavioral event data used across multiple downstream systems.The current scope is centered on this migration, with an emphasis on data correctness, stability, and alignment with a new internal event model. The role involves working with existing pipelines, adapting transformations to the new data source, and ensuring a smooth transition without disrupting data consumers.This is a hands-on data engineering role with a strong focus on pipeline migration, data quality, and collaboration with stakeholders validating behavioral data. Migrate existing data pipelines from GA4 (Google Analytics 4) to an internal Customer Behavior SourceRefactor and adapt Spark-based ETL pipelines to match a new behavioral event schemaEnsure data accuracy, consistency, and reliability during and after the migrationWork with large-scale datasets using PySpark and SQLCollaborate with analytics and product teams to validate migrated data and resolve discrepanciesDocument pipeline logic, data models, and migration decisionsTroubleshoot and resolve issues related to data quality or pipeline stability Strong hands-on experience with PySpark and Apache SparkProficiency with Airflow for orchestrating data pipelinesSolid SQL skills for data transformation and validationExperience working with Databricks in a production environmentFamiliarity with data modeling concepts (desired, but not required) Location: Istanbul, Turkey Seniority: Senior Technologies: Data Benefits: Paid Vacation Hybrid Work (home/office) Sick Days Sport/Insurance Compensation Holidays Day Off English Classes Training Compensation Transportation compensation Discover what it’s like to work with us About us These might interest you Data Analyst Turkey Senior Business Analyst with AI Experience Turkey Senior Data Engineer Turkey See All Join Our Team!

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