Data Engineer Positions

6 days ago

Lahore, Punjab, Pakistan beBee Careers Full time
Senior Data Engineer Job Description

The ideal candidate will have a strong background in building and optimizing large-scale data pipelines, architecting cloud-based data solutions, and managing complex data environments using cloud technologies. You will work closely with cross-functional teams to design, develop, and deploy data solutions that power business insights.

Key Responsibilities:

  • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines using cloud services such as AWS Glue, EMR, and Athena.
  • Data Warehousing: Architect and manage data warehouses using cloud technologies, integrating with S3, RDS, and DynamoDB for both structured (SQL) and unstructured (NoSQL) data needs.
  • Big Data Processing: Utilize PySpark on AWS EMR for distributed data processing, ensuring the effective transformation of raw data into business insights.
  • Database Management: Manage both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB, MongoDB) databases, ensuring data is efficiently stored, retrieved, and queried.
  • Real-Time Data Processing: Implement and maintain real-time streaming data solutions using cloud services such as AWS Kinesis or Kafka for low-latency data processing.
  • Cloud Monitoring & Automation: Use cloud monitoring tools to monitor, automate, and optimize data pipelines and ensure efficient use of cloud resources.
  • Data Governance & Security: Ensure adherence to best practices for data security, governance, and compliance, including data encryption and access controls.
  • Collaboration: Work closely with data scientists, analysts, and business stakeholders to align data infrastructure with business objectives.
  • Documentation: Maintain detailed documentation of data models, data pipeline processes, and system architectures.

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