Data Engineer
Location: Islamabad, Federal Teritory, Pakistan
Position Title
Data Engineer
Experience Required
5–6 Years
Employment Type - Full-Time - Onsite - Islamabad
Job Summary
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)
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