Vertex Technologies

Senior Data Engineer

Vertex Technologies
📍 القاهرة Full-Time 💼 Fresh Graduate 🕐 56m ago
👁️ 0 views
📋 0 applicants

Job Description

  • Core Languages: Python (patterns, library design), SQL (internals).
  • Platforms: Databricks (Unity Catalog), Snowflake, BigQuery, Synapse.
  • Processing & Streaming: Spark (internals, tuning), Kafka / Structured Streaming, dbt (enterprise patterns).
  • Architecture: Lakehouse (Delta/Iceberg), Data Mesh, Lambda/Kappa.
  • Governance & Quality: catalogs, lineage, RBAC/masking, data contracts, observability.
  • Infrastructure & DevOps: advanced Terraform, CI/CD, Docker/Kubernetes.
  • Emerging: feature stores, vector databases, LLM/RAG data pipelines.
  • Own architecture on engagements; act as the Design Authority.
  • Solve the hardest problems: streaming under load, Spark debugging, framework design.
  • Drive presales: assessments, audits, estimations; explain the ROI of modernization.
  • Make solutions production-ready: secure, observable, cost-efficient, documented - with quality SLAs defined.
  • Set standards, review code, grow Middle and Junior engineers.
  • Long-term career stability with a competitive salary paid in USD.
  • Conditions for steady career development.
  • Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.
  • Private medical insurance provided after successful completion of the probationary period
  • A well-equipped and cozy office supports comfort and productivity across all project stages.
  • Welcoming atmosphere and a friendly corporate culture.

Requirements & Qualifications

  • Experience: 5+ years of data engineering, with delivery you owned end to end.
  • Engineering Mastery: expert Python and SQL; you optimize code others wrote.
  • Craft Fluency: the discipline's concepts explained clearly enough to teach: modeling methodologies (Kimball, Data Vault), processing paradigms, consistency and delivery guarantees.
  • Platform Depth: Databricks (Spark memory, partitioning) or Snowflake (warehouse tuning, RBAC, zero-copy cloning) - how they work under the hood.
  • Streaming: production experience with Kafka or Kinesis plus Spark Structured Streaming or Flink.
  • Governance: design access models, lineage, and quality SLAs a client can pass an audit with.
  • Architectural Vision: end-to-end design, tool selection with trade-offs ("Why Snowflake over Redshift?"), decisions defended to leadership.
  • Cloud Mastery: one major cloud at expert level - networking (VPC, PrivateLink), security (IAM), service limits.
  • Consulting: presales, technical audits, discovery; business needs into technical specs.
  • AI/ML Readiness: feature engineering, data pipelines for LLM/RAG.
  • GenAI Stack: vector databases (Pinecone, pgvector, Weaviate), LangChain-style frameworks.
  • Streaming Depth: Flink or Kafka Streams in production.
  • Certifications: professional level (AWS Solutions Architect Pro, Databricks DE Professional).
  • NoSQL: advanced modeling for DynamoDB, Cosmos DB, or MongoDB.
EGjobank Analysis

Quick Role Summary

Opportunity as "Senior Data Engineer" at Vertex Technologies located in القاهرة on a Full-Time basis, suited for Fresh Graduate candidates, within Marketing & Sales. Key details from listing: • Core Languages: Python (patterns, library design), SQL (internals). • Platforms: Databricks (Unity Catalog), Snowflake, BigQuery, Synapse. • Processing &…

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