Data Engineer

Datamatics-Global-Services-Ltd; Islamabad; On-site; PKR 3,600,000 - 6,000,000; Full time

Job summary

Datamatics-Global-Services-Ltd is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using cloud technologies and ETL tools. You will architect high-performance ETL/ELT pipelines on Azure Data Factory and optimize data workflows for cost, speed, and scalability.

You will ensure data quality, lineage, and security across systems, and establish CI/CD, monitoring, and documentation standards for data engineering.

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).

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.

Skills

SQL

Python/Scala

CI/CD

ETL/ELT

Data security

Tools

Azure Data Factory

Databricks

dbt

Airflow

Talend

Fivetran

Job description

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).