Data Engineer

Archisurance; Lahore; On-site; PKR 1,200,000 - 1,800,000; Full time

Job summary

A technology-focused company in Pakistan is seeking a skilled Data Engineer to build and maintain robust data pipelines for AI solutions. The successful candidate will design scalable architectures, ensure data quality, and optimize data flows for machine learning workloads. This role requires proficiency in SQL, Python, and experience with cloud data platforms. The ideal candidate will have 3+ years of relevant experience and the ability to collaborate effectively with other engineering teams.

Qualifications

• 3+ years of experience in data engineering or backend software development.
• Strong proficiency in SQL, Python, and data processing frameworks.
• Experience with cloud data platforms and orchestration tools.

Responsibilities

• Design, build, and maintain scalable data pipelines for batch and real-time processing.
• Develop ETL/ELT processes to extract data from diverse sources.
• Implement data quality checks and monitoring systems.
• Optimize database performance for large-scale datasets.

Skills

SQL

Python

Data processing frameworks (Spark, Flink)

Tools

Snowflake

BigQuery

Redshift

Airflow

dbt

Job description

The Data Engineer will build and maintain the robust data pipelines that power our AI solutions. You will be responsible for designing scalable data architectures, ensuring data quality, and optimizing data flow for machine learning workloads.

Key Responsibilities

• Design, build, and maintain scalable data pipelines for batch and real-time processing.
• Develop ETL/ELT processes to extract data from diverse sources and load into data lakes/warehouses.
• Implement data quality checks, monitoring, and alerting systems.
• Optimize database performance and query execution for large-scale datasets.
• Collaborate with ML engineers to prepare feature stores and training datasets.

Requirements

• 3+ years of experience in data engineering or backend software development.
• Strong proficiency in SQL, Python, and data processing frameworks (Spark, Flink, etc.).
• Experience with cloud data platforms (Snowflake, BigQuery, Redshift) and orchestration tools (Airflow, dbt).
• Understanding of data modeling, data warehousing, and data lake architectures.
• Familiarity with streaming technologies (Kafka, Kinesis) is a plus.

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