Data Engineer

Posted 2 Days Ago
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Hiring Remotely in Federal Capital Area
Remote
Senior level
Artificial Intelligence • Information Technology • Software • Analytics
The Role
Seeking Data Engineers with 6-7 years of experience in developing ETL frameworks, building data pipelines, and ensuring data quality. Requires collaboration with cross-functional teams and expertise in big data technologies.
Summary Generated by Built In
Job Title: Data Engineer (2 Positions)

Experience: 6–7 Years
Location: Remote / Hybrid 
Employment Type: Full-Time 

Job Summary

We are seeking talented and experienced Data Engineers with 6–7 years of hands-on experience in designing, developing, and maintaining large-scale data solutions. The ideal candidates will have a strong background in building robust ETL frameworks, complex data pipelines, and working with big data technologies. This role requires a blend of technical expertise, problem-solving skills, and the ability to work collaboratively with cross-functional teams to deliver reliable and scalable data systems supporting analytics and business intelligence.

Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT frameworks and complex data pipelines.

  • Build and optimize data processing jobs using big data technologies and modern data frameworks.

  • Ensure data accuracy, consistency, and reliability across multiple data platforms.

  • Collaborate with data scientists, analysts, and business stakeholders to transform business requirements into data-driven technical solutions.

  • Troubleshoot, debug, and optimize existing workflows for performance and scalability.

  • Implement best practices for data governance, version control, and performance monitoring.

Required Skills & Qualifications
  • 6–7 years of hands-on experience in data engineering and ETL design.

  • Proficiency in SQL and strong experience with one or more ETL tools such as Talend, Informatica, or dbt.

  • Expertise in big data technologies including Apache Spark, Hadoop, and Kafka.

  • Solid programming skills in Python or Scala.

  • Strong understanding of data modeling, data integration, and data quality management.

  • Experience with cloud data platforms (AWS, Azure, or GCP) is a strong plus.

  • Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications
  • Experience working in agile data environments.

  • Exposure to data warehousing or data lake architectures.

  • Familiarity with DevOps practices and CI/CD for data pipelines.

Top Skills

Spark
AWS
Azure
Dbt
GCP
Hadoop
Informatica
Kafka
Python
Scala
SQL
Talend
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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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