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Data Pipeline Specialist

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Job Overview

We are seeking a highly skilled and experienced Data Engineer to drive our data strategy.

This role is responsible for designing, developing, and maintaining scalable data pipelines using PySpark.

  • Design and develop complex data pipelines utilizing PySpark and Spark SQL.
  • Collaborate with cross-functional teams to ensure accurate data processing, transformation, and delivery.
  • Maintain high-quality data by developing and implementing data quality metrics and performing regular health checks.
  • Develop and maintain data workflows using cloud services such as AWS S3, AWS Glue/EMR, and AWS Lambda.

As a Data Engineer, you will have the opportunity to work on various projects including building ETL/ELT processes, implementing data transformation, data quality, and performance optimization techniques.

Experience working with Apache Airflow, dbt, Delta Lake, and other data engineering tools is a plus. Familiarity with cloud data platforms, preferably AWS, is also desirable.