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فرصة عمل

Data Engineer

inDrive

الموقعCairo, Cairo, Egypt
نوع الوظيفةدوام كامل
نظام العملغير محدد
الراتبغير محدد
الراتب المتوقع
AIتقدير تقريبي لنطاق الراتب في سوق العمل المصري. هذا التقدير مولّد بالذكاء الاصطناعي، وليس راتبًا مؤكدًا من صاحب العمل.
٤٥٬٠٠٠ – ٨٥٬٠٠٠ EGP
تاريخ النشر

ملخص JobPlatform

نظرة سريعة على الوظيفة

هذه الوظيفة لدى inDrive، في Cairo, Cairo, Egypt، بنظام دوام كامل. تفاصيل الوظيفة والمهارات المعروضة أدناه مأخوذة من إعلان الوظيفة الأصلي.

ملف الشركة

عن الشركة

AIهذا الملخص مُعد بمساعدة الذكاء الاصطناعي اعتمادًا على المعلومات المتاحة، وقد لا يعكس جميع تفاصيل الشركة.

inDrive is a digital platform focused on connecting users with essential services through efficient and reliable support systems. The company's offerings include roles such as Moderator of Orders Feed, Data Engineer, Call Center And Social Media Moderator, and Customer Support Specialist, indicating an emphasis on maintaining user engagement, data management, and customer interaction. While the exact nature of inDrive’s business remains unspecified, these job titles suggest operations centered around online platforms that require real-time communication, data processing, and community moderation. The company appears to prioritize roles that ensure seamless user experiences across multiple channels, including social media and customer service. Without additional information, it is reasonable to infer that inDrive may operate within the tech or e-commerce sectors, providing support services for digital platforms or marketplaces.

الوصف الأصلي

عن الوظيفة

Department: Data Platform Location: Egypt Description We are looking for a Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location. Show more

المسار المهني

نظرة عامة على الدور

AIهذا الملخص مُعد بمساعدة الذكاء الاصطناعي اعتمادًا على المعلومات المتاحة، وقد لا يعكس جميع تفاصيل الشركة.

Builds and maintains data pipelines to support analytical processes and system integration.

تفاصيل الدور

المسؤوليات الرئيسية

AIهذا الملخص مُعد بمساعدة الذكاء الاصطناعي اعتمادًا على المعلومات المتاحة، وقد لا يعكس جميع تفاصيل الشركة.
  • Developing and maintaining data pipelines for structured and unstructured data
  • Designing scalable data architectures and integration workflows
  • Optimizing data processing performance and storage efficiency
  • Implementing data quality checks and validation mechanisms

تفاصيل الدور

المهارات المشتركة

AIهذا الملخص مُعد بمساعدة الذكاء الاصطناعي اعتمادًا على المعلومات المتاحة، وقد لا يعكس جميع تفاصيل الشركة.
  • Data pipeline development
  • ETL/ELT processes
  • Database management
  • Cloud computing platforms
  • Data modeling
  • Scripting and automation
  • Data analysis
  • Collaboration with cross-functional teams

المهارات

المهارات المطلوبة

PythonMachine LearningLLMStreamlitSQLKubernetesGitHubAWSGCP

مصدر الوظيفة

إعلان الوظيفة الأصلي

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