Principal Data Engineer

7 days ago

Karachi, Sindh, Pakistan Pakistan Single Window Full time
  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and integrate data from various sources.
  • Implement real-time data streaming and batch processing solutions to support diverse business needs.
  • Build and optimize data storage solutions, including data lakes, data warehouses, and databases.
  • Ensure data systems and pipelines are scalable, secure, and performant.
  • Clean, transform, and prepare raw data into usable formats for analytics and machine learning.
  • Collaborate with Data Scientists and Analysts to define data requirements and deliver solutions.
  • Monitor the performance and reliability of data pipelines and systems, implementing improvements where necessary.
  • Troubleshoot and resolve data-related issues, ensuring minimal downtime.
  • Implement and enforce data quality checks, validation processes, and monitoring mechanisms.
  • Collaborate with Data Governance teams to ensure data complies with organizational standards and policies.
  • Work closely with cross-functional teams, including Data Architects, Analysts, and Business Teams, to understand requirements and deliver data solutions.
  • Provide technical expertise and guidance on data engineering best practices.
  • Stay updated on emerging tools, technologies, and industry trends.
  • Evaluate and recommend technologies to enhance data engineering capabilities.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • 7 to 8 years of experience as a Data Engineer or in a similar role, with expertise in building and maintaining data pipelines and infrastructure.
  • Hands-on experience with big data tools, cloud platforms, and data integration techniques.
  • Expertise in SQL and working with relational and NoSQL databases.
  • Experience with data orchestration tools (e.g., ODI, SSIS, Apache Airflow, dbt, Prefect).
  • Proficiency in programming languages like Python, Java, or Scala.
  • Familiarity with data processing frameworks (e.g., Apache Spark, Kafka).
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.
  • Ability to work in a fast-paced, team-oriented environment.

Benefits

  • Competitive salary
  • Fuel Card
  • Health benefits
  • Professional development opportunities
  • Inclusive work culture & much more

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