Data Engineering Leader

2 days ago


Lahore, Punjab, Pakistan kisaangroup Full time

About Us

Kisaan Group is a catalyst for change, empowering rural communities to drive Pakistan's economy forward.

We address critical challenges in our rural economy and unlock opportunities for sustainable growth through data-driven, research-backed projects.

Our focus is on creating a lasting impact at the grassroots level, building resilient communities and fostering a prosperous Pakistan.

We achieve this through our dynamic brands:

  • The Market

Job Summary

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines using AWS. The ideal candidate will have extensive experience in batch and real-time data ingestion, orchestration using tools like Apache Airflow or Dagster, and implementing fault-tolerant alerting and logging mechanisms.

This role is critical in ensuring the reliability and efficiency of our data infrastructure, enabling seamless data flow across our systems.

Responsibilities

  • Design, develop, and maintain scalable and robust data pipelines for batch and real-time data processing.
  • Work with cloud-based platforms (AWS or GCP) to build efficient and cost-effective data infrastructure.
  • Implement and manage orchestration workflows using Apache Airflow, Dagster, or similar tools.
  • Ensure data quality, integrity, and security across all pipelines.
  • Set up logging, monitoring, and alerting mechanisms to proactively identify and resolve issues.
  • Optimize data storage solutions, ensuring performance and scalability.
  • Collaborate with cross-functional teams including data scientists, analysts, and software engineers to support data-driven decision-making.
  • Automate and streamline data engineering processes to improve efficiency and reliability.
  • Lead the migration of existing data workloads to cloud platforms, ensuring minimal disruption and optimal performance.
  • Mentor junior engineers and promote best practices in data engineering across the organization.

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