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Contract TypeContract TypeFull-time
Workplace typeWorkplace typeOn-site
LocationLocationRiyadh
Join Future Look ITC as a Data Engineer!

We are seeking a skilled Data Engineer to design and implement scalable data pipelines that will elevate our data handling capabilities. At Future Look ITC, we partner with top innovative names to foster success with cutting-edge solutions aligned with Saudi Arabia's Vision 2030.

Key Responsibilities:
  • Design and implement scalable batch and streaming data pipelines.
  • Build and maintain data ingestion, transformation, and storage systems.
  • Ensure data quality, consistency, lineage, and reliability across pipelines.
  • Collaborate with ML and backend engineers to provide clean, usable datasets for training and inference.
  • Optimize data storage and query performance for analytical and operational workloads.
  • Implement data validation, monitoring, and alerting mechanisms.
  • Manage schema evolution, versioning, and backward compatibility.
  • Document data models, pipelines, and operational procedures.

Core Deliverables:
  • Production-grade data pipelines and ingestion workflows.
  • Curated datasets and data models for analytics and ML.
  • Data quality checks and monitoring dashboards.
  • Reliable data storage and access patterns.
  • Documentation for data architecture and pipelines.

Required Qualifications:
  • 3+ years of experience in data engineering or related roles.
  • Strong experience with Python and SQL.
  • Experience with data processing frameworks and tools.
  • Familiarity with relational and analytical databases.
  • Experience building and operating data pipelines in production environments.

Preferred Qualifications:
  • Experience with streaming platforms and real-time data processing.
  • Familiarity with data lakes, warehouses, and columnar storage formats.
  • Experience supporting ML or analytics platforms.
  • Exposure to cloud or hybrid infrastructure environments.

Success Indicators:
  • Data pipelines are stable, accurate, and scalable.
  • High data availability and low pipeline failure rates.
  • Data consumers can easily discover and trust datasets.
  • Reduced data-related incidents and manual interventions.

Working Style:
  • Strong ownership of data reliability.
  • Attention to detail and data correctness.
  • Clear documentation and communication.

Requirements

  • Requires 2-5 Years experience

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