Data Engineering Leader

6 days ago


Islamabad, Islamabad, Pakistan beBeeData Full time 2,500,000 - 3,500,000
Job Summary

We are seeking a skilled and experienced Data Engineering Lead to spearhead our data strategy. The ideal candidate will have 8+ years of hands-on experience in real-time and batch data processing, containerization, and cloud-based data orchestration.

  • Data Pipeline Design and Implementation:
  • Batch Processing Workflows with Apache Spark:
  • Orchestration and Scheduling with Apache Airflow:
  • Containerization with Docker and Kubernetes:
  • Modern Storage Solutions with Parquet and Delta Lake:
  • High-Performance Analytics Engines with Trino:
  • Collaboration with DevOps for Infrastructure Management:
About the Role

The Data Engineering Lead will be responsible for designing, building, and maintaining robust, scalable, and efficient data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.

They will also develop batch processing workflows with Apache Spark (PySpark) and orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory.

In addition, they will containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes.

The ideal candidate will have expertise in modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg.

They will also be responsible for building high-performance analytics engines using tools like Trino or Presto and collaborating with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps.

Key Responsibilities:

  • Design and Implement Data Pipelines:
  • Develop Batch Processing Workflows:
  • Orchestrate and Schedule Data Workflows:
  • Containerize Applications:
  • Implement Modern Storage Solutions:
  • Build High-Performance Analytics Engines:
  • Collaborate with DevOps:
Required Skills & Experience

Technical Requirements:

  • Advanced Python Programming:
  • Strong Knowledge of SQL:
  • Hands-on Experience with Cloud Platforms:
  • Real-Time Data Processing:
  • Apache Spark (PySpark):
  • Lakehouse Architectures:
  • Data Orchestration Frameworks:
  • Docker, Kubernetes, and Helm:
  • Terraform:
  • Data Quality Frameworks:

Soft Skills:

  • Able to Work in Agile Teams:
  • Proven Ability in Debugging and Performance Tuning:
About Us

We are a leading IT company with a vibrant culture of learning and collaboration.

Company Overview:

We serve Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.

Certifications:

ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS)

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