Data Engineer (Data Bricks)

Posted 15 Hours Ago
Be an Early Applicant
Islamabad, PAK
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Design, build, and maintain scalable ETL/ELT data pipelines (Azure Data Factory, Databricks). Optimize workflows for cost, speed, and scalability; ensure data quality, lineage, and security; establish CI/CD, monitoring, documentation; apply best practices (Git, code reviews, data testing, partitioning, incremental loads); integrate streaming systems (Kafka, Kinesis).
Summary Generated by Built In
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).

Skills Required

  • 5+ years in data engineering with 2+ years in a senior role
  • Databricks experience (must have)
  • Experience with cloud data services (Redshift, BigQuery, Snowflake, Synapse)
  • Proficiency with ETL tools (dbt, Airflow, Glue, Talend, Fivetran) — at least one
  • Strong SQL skills
  • Proficiency in Python or Scala
  • Experience with streaming technologies (Kafka, Kinesis)
  • Experience implementing CI/CD, monitoring, and documentation standards for data engineering
  • Familiarity with best practices: code reviews, version control (Git), data testing, partitioning, incremental loads

Datamatics Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.

  • Flexible Benefits Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.

Datamatics Technologies Insights

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The Company
Dubai
65 Employees
Year Founded: 2016

What We Do

Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.

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