Transforming Data into Insights

3 days ago


Hyderabad City Taluka, Pakistan beBeeDataEngineer Full time 800,000 - 1,000,000
Senior Data Engineer Job Description

We are seeking a highly skilled Senior Data Engineer to join our team.

  • Key Responsibilities:

Data Pipeline Design and Development: Design and develop scalable data pipelines using Apache Airflow for orchestration, integrating multiple data sources and sinks across cloud and on-prem environments. Architect end-to-end data workflows and implement data quality, reliability, and availability.

BigQuery Data Modeling and Optimization: Build and optimize data models in Google BigQuery for performance and cost-efficiency, including partitioning, clustering, and materialized views to support analytics and reporting use cases.

ETL/ELT Development and Maintenance: Design robust ETL/ELT pipelines to extract, transform, and load structured and semi-structured data, ensuring data quality, reliability, and availability.

Cloud-Native Engineering on GCP: Leverage GCP services like Cloud Storage, Pub/Sub, Dataflow, and Cloud Functions to build resilient, event-driven data workflows.

CI/CD and Automation: Implement CI/CD for data pipelines using tools like Cloud Composer (managed Airflow), Git, and Terraform, ensuring automated deployment and versioning of workflows.

Data Governance and Security: Ensure proper data classification, access control, and audit logging within GCP, adhering to data governance and compliance standards.

Monitoring and Troubleshooting: Build proactive monitoring for pipeline health and data quality using tools such as Stackdriver (Cloud Monitoring) and custom Airflow alerting mechanisms.

Collaboration and Stakeholder Engagement: Work closely with data analysts, data scientists, and business teams to understand requirements and deliver high-quality, timely data products.



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