Job Description

Position Title

Data Engineer

Experience Required

5–6 Years

Employment Type - Full-Time - Onsite - Islamabad

We 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.

Required Skills & Qualifications

• 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.

Preferred Qualifications

• 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.

Tools & Technologies

• SQL
• Python / Scala / Java
• Apache Spark
• Kafka
• Airflow
• Snowflake / Redshift / BigQuery / Synapse
• AWS / Azure / GCP
• Git
• Docker / Kubernetes (preferred)