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Data Engineer - Datamatics Technologies

Datamatics Technologies • Data & Analytics • Information Technology • Python • SQL • Scala • ETL/ELT • Talend • Fivetran • Azure Data Factory • 1 day ago
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Salary
≈ $17k – $43k per year (Estimated)
Location
In office (Islamabad)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 22, 2026. First seen by Alion on Oct 21, 2026.

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Datamatics Technologies

Headquartered in Dubai, United Arab Emirates, Datamatics Technologies is an information technology and consulting firm specializing in enterprise data architecture, advanced analytics, and artificial intelligence solutions. The company delivers end-to-end services that encompass machine learning enablement, cloud modernization, custom software engineering, and ISO-aligned cybersecurity frameworks. Through a hybrid model of onsite and offshore delivery, it helps organizations across sectors such as banking, telecom, healthcare, and government transform complex data into secure, scalable business outcomes.
datamaticstechnologies.com • HQ: Dubai, United Arab Emirates • Data & Analytics • Information Technology • IT Staffing & Staff Augmentation • Analytics & BI Consulting • Cloud Consulting & Migration • Data Engineering & Migration Services • 201-500 employees
Tech stack of Datamatics Technologies

JD: Role Summary We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using cloud technologies and ETL tools. Key Responsibilities

  • Architect and implement high-performance ETL/ELT pipelines on [Azure data Factory].

  • Optimize data workflows for cost, speed, and scalability.

  • Ensure data quality, lineage, and security across systems.

  • Establish CI/CD, monitoring, and documentation standards for data engineering.

  • Required Qualifications

  • 5+ years in data engineering, with 2+ years in a senior role.

  • Deep experience with cloud data services (e.g., Redshift, BigQuery, Snowflake, Synapse, Databricks must have).

  • Proficiency with ETL tools (e.g., dbt, Airflow, Glue, Talend, Fivetran).any one.

  • Strong SQL and Python/Scala.

  • Proven application of best practices: code reviews, version control (Git), data testing, partitioning, and incremental loads.

  • Experience with streaming (Kafka, Kinesis).

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