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Data Engineer

datamaticstechnologies

On-site
Islamabad, Pakistan
Full-time
Entry
Mid Level
1+ yrs
Salary not listedPosted 1mo ago

Real job — pulled straight from datamaticstechnologies’s careers page · Verified July 27, 2026 · No reposts.

Job description

datamaticstechnologies is hiring a Data Engineer — a full-time, based in Islamabad, Pakistan role. Apply directly on datamaticstechnologies's careers page below.

Data Engineer (Data Bricks)

Location: Islamabad, Islamabad, Pakistan

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
  • 1- 2 years of Experience.
  • 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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Frequently asked questions

What skills are required for Data Engineer at datamaticstechnologies?

The required skills for Data Engineer at datamaticstechnologies include: Databricks, SQL, Python, Scala, Git, Kafka, Kinesis, dbt, Airflow, Snowflake, Redshift, BigQuery.

What is the seniority level for Data Engineer at datamaticstechnologies?

Data Engineer at datamaticstechnologies is a Entry / Mid Level level position.

How do I apply for Data Engineer at datamaticstechnologies?

You can view the full description and apply for Data Engineer at datamaticstechnologies on EchoJobs: https://echojobs.io/job/datamaticstechnologies-data-engineer-data-bricks-hsfvp.