Data Engineer
Experience Required5–6 Years
Employment Type - Full-Time - Onsite - IslamabadJob SummaryWe are seeking a skilled and detail-oriented Data Engineer with 5–6 years of experience in designing, developing, and maintaining scalable data pipelines and modern data platforms. The ideal candidate should have strong expertise in ETL/ELT processes, cloud-based data solutions, data warehousing, and big data technologies. The role requires close collaboration with business stakeholders, analysts, and engineering teams to deliver reliable and high-quality data solutions.
Key Responsibilities- Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
- Develop and optimize data integration workflows across multiple data sources and platforms.
- Build and maintain data warehouses, data lakes, and modern analytics platforms.
- Ensure data quality, consistency, governance, and security across systems.
- Optimize SQL queries, database performance, and large-scale data processing jobs.
- Collaborate with BI, analytics, and business teams to understand reporting and data requirements.
- Implement data validation, monitoring, and error-handling mechanisms.
- Work with cloud platforms and modern data engineering tools to support enterprise analytics initiatives.
- Automate data workflows and deployment processes using CI/CD practices.
- Troubleshoot and resolve data-related production issues in a timely manner.
- Prepare technical documentation for pipelines, workflows, and architecture.
- Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field.
- 5–6 years of hands-on experience in Data Engineering.
- Strong proficiency in SQL and database design concepts.
- Experience with ETL/ELT tools and data pipeline development.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse.
- Strong programming skills in Python, Scala, or Java.
- Experience working with big data technologies such as Spark, Hadoop, or Kafka.
- Familiarity with orchestration tools like Airflow or similar workflow management tools.
- Understanding of data modeling concepts and best practices.
- Experience with version control systems such as Git.
- Strong analytical, problem-solving, and communication skills.
- Experience in building real-time and batch processing pipelines.
- Exposure to DevOps and CI/CD practices.
- Certifications in cloud or data engineering technologies will be a plus.
- Experience supporting BI and analytics teams.
- SQL
- Python / Scala / Java
- Apache Spark
- Kafka
- Airflow
- Snowflake / Redshift / BigQuery / Synapse
- AWS / Azure / GCP
- Git
- Docker / Kubernetes (preferred)
Skills Required
- 5-6 years of hands-on experience in data engineering
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
- Strong proficiency in SQL and database design concepts
- Experience with ETL/ELT tools and data pipeline development
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP
- Experience with data warehousing solutions such as Snowflake, Redshift, BigQuery, or Synapse
- Strong programming skills in Python, Scala, or Java
- Experience working with big data technologies such as Spark, Hadoop, or Kafka
- Familiarity with orchestration tools like Airflow or similar
- Understanding of data modeling concepts and best practices
- Experience with version control systems such as Git
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.
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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.
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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
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.
