Data Engineer

Datamatics Technologies LLC

Islamabad

On-site

PKR 1,800,000 - 3,200,000

Full time

3 days ago
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Job summary

Datamatics Technologies LLC is hiring a Data Engineer focused on SQL Server performance optimization, high-volume ETL, and scalable data processing in Islamabad. The role emphasizes improving long-running jobs, ensuring data quality, and supporting BI and analytics teams with robust pipelines.

Ideal candidates will have hands-on experience with SQL Server performance tuning, CDC-based models, and large-scale ETL architectures in financial or MIS environments.

Qualifications

  • Strong hands-on experience with SQL Server performance tuning, indexing, and partitioning.
  • Deep understanding of ETL frameworks, including batch processing and incremental loads.
  • Experience managing large ETL architectures with complex dependencies.
  • Knowledge of CDC and incremental data movement strategies.
  • Experience working in large OLTP and OLAP environments.
  • Familiarity with SQL CLR functions and assemblies.

Responsibilities

  • Design, develop, and optimize SQL Server queries, indexes, partitions, and overall database performance.
  • Perform SQL Server performance tuning to support high-volume OLTP and OLAP workloads.
  • Optimize and maintain ETL batch jobs, ensuring efficient execution and minimal downtime.
  • Handle large-volume data loads, ensuring reliability and performance across pipelines.
  • Troubleshoot and resolve long-running or failing ETL jobs and bottlenecks.
  • Develop and maintain CDC-based incremental data models.
  • Manage end-to-end ETL processes, including scheduling, orchestration, monitoring, and debugging.
  • Work with SQL CLR functions and assemblies as needed.
  • Collaborate with BI, Data Analytics, and Application teams to support data integration requirements.
  • Ensure data quality and compliance across systems.

Skills

SQL Server performance tuning
ETL design & optimization
CDC / Change Data Capture
Large data pipelines
OLTP / OLAP environments
SQL CLR functions
Troubleshooting ETL jobs
Batch processing

Tools

SQL CLR

Job description

Data Engineer (SQL Server, ETL & Performance Optimization)

Location:Islamabad
Job Type: Full-Time
Experience Level:5 - 7 Years
Industry: Banking / Financial Services (Preferred)

Role Summary

We are seeking a highly skilled Data Engineer with deep expertise in SQL Server performance optimization, high-volume ETL operations, and large-scale data processing. The ideal candidate will have hands-on experience managing complex data ecosystems, optimizing long-running jobs, and ensuring robust, efficient, and scalable ETL pipelines. Experience in financial systems or large MIS/reporting environments will be a strong plus.

Key Responsibilities
  • Design, develop, and optimize SQL Server queries, indexes, partitions, and overall database performance.

  • Perform SQL Server performance tuning to support high-volume OLTP and OLAP workloads.

  • Optimize and maintain ETL batch jobs, ensuring efficient execution and minimal downtime.

  • Handle large-volume data loads, ensuring reliability, consistency, and performance across data pipelines.

  • Troubleshoot and resolve long-running or failing ETL jobs, bottlenecks, and inefficiencies.

  • Develop and maintain CDC (Change Data Capture)-based incremental data models.

  • Manage end-to-end ETL processes, including scheduling, orchestration, monitoring, and debugging.

  • Work with SQL CLR functions and assemblies, including reviewing, debugging, updating, and replacing them when necessary.

  • Collaborate closely with BI, Data Analytics, and Application teams to support data integration requirements.

  • Ensure data quality, consistency, and compliance across all integrated systems.

Required Skills & Expertise
  • Strong hands-on experience with SQL Server (performance tuning, indexing, partitioning, query optimization).

  • Deep understanding of ETL frameworks, including batch processing and incremental loads.

  • Experience managing large ETL architectures with complex dependencies.

  • Strong knowledge of CDC and incremental data movement strategies.

  • Expertise in working with large OLTP and OLAP environments.

  • Experience with SQL CLR functions and assemblies (reading, debugging, modifying).

  • Strong troubleshooting skills for long-running processes, query slowness, and data pipeline issues.

Preferred Experience
  • Experience in the banking or financial domain (T24 or similar core banking systems).

  • Hands-on experience working with heavy reporting or MIS environments with demanding data refresh cycles.

  • Exposure to large-scale ETL ecosystems involving 500+ tables or high-volume enterprise data models.

Soft Skills
  • Strong problem-solving and analytical abilities.

  • Effective communication and collaboration skills.

  • Ability to work independently in high-pressure, data-intensive environments.

  • Attention to detail with a commitment to data accuracy and quality.

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