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Rizviz International Impex

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Senior Data Engineer

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Summary

Leads the design and delivery of scalable data platforms: building ETL/ELT pipelines and cloud data solutions with Python, SQL, Spark, DBT, Kafka, Databricks, Snowflake, and AWS, while mentoring junior engineers, running code reviews, and setting engineering standards. Based in Lahore, Pakistan.

Rizviz International Impex is looking for an experienced Senior Data Engineer to design and build scalable data platforms while providing technical leadership to a growing team of data engineers.

As the Lead Data Engineer, you will architect and develop production-grade data solutions, mentor junior engineers, conduct code reviews, and establish engineering best practices. You will work closely with the Stack Head to ensure high-quality project delivery and foster the technical growth of the team.

  • Design, develop, and optimize scalable data pipelines and platforms.
  • Build ETL/ELT workflows using Python, SQL, Spark, DBT, Kafka, Databricks, and Snowflake.
  • Develop cloud-based data solutions using AWS.
  • Implement CI/CD pipelines and manage deployments using Docker and Kubernetes.
  • Monitor and improve data quality, performance, and reliability.
  • Conduct code reviews and establish engineering standards.
  • Mentor junior engineers through coaching and technical guidance.
  • Collaborate with cross-functional teams on architecture and project delivery.
  • 7+ years of experience in Data Engineering.
  • Previous experience leading technical teams.
  • Strong expertise in Python, SQL, Apache Spark, and SparkSQL.
  • Hands-on experience with DBT, Kafka, Databricks, Snowflake, Git, CI/CD, Docker, and Kubernetes.
  • 3+ years of experience working with AWS services.
  • Strong communication, problem-solving, and leadership skills.
  • Apache Kafka & Apache flink

If youre passionate about building modern data platforms, mentoring engineers, and driving technical excellence, wed love to hear from you. Join Rizviz International Impex and help shape the future of our data engineering team.

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