Senior Data Engineer

1 week ago

Islamabad, Islamabad, Pakistan beBeeBigData Full time 4,000,000 - 5,000,000
Job Description

We're seeking a seasoned Data Analyst to lead the development of sophisticated data processing pipelines that combine traditional data engineering with statistical analysis and machine learning capabilities using PySpark at scale.

  • Develop scalable ETL/ELT pipelines using PySpark and Apache Spark ecosystem with integrated statistical analysis and data quality frameworks
  • Create ML preprocessing pipelines with advanced data transformation, feature engineering, and automated validation systems
  • Optimize performance for large-scale distributed data processing while monitoring pipeline reliability and troubleshooting issues
  • Collaborate with data scientists and analysts to translate business requirements into robust technical solutions
Required Skills and Qualifications

To be successful in this role, you'll need:

  • 1-2 years of experience with PySpark/Apache Spark, HDFS, Hive, SparkSQL, Parquet, Delta Lake
  • Data warehousing and orchestration skills: BigQuery/Snowflake/Redshift, Airflow/Prefect/Dagster, Databricks
  • Advanced SQL performance tuning for distributed systems, strong Python with scientific computing libraries
Benefits

This role offers:

  • An opportunity to work on cutting-edge projects
  • A collaborative and dynamic work environment
  • Ongoing training and professional development
Others

We're looking for someone who:

  • Has a solid understanding of statistical methodology application, data quality principles, and performance optimization for big data
  • Can effectively communicate complex technical ideas to both technical and non-technical stakeholders
Employment Type
  • Full-time
Job Function
  • Engineering and Information Technology
  • Software Development

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